{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T04:56:09Z","timestamp":1778216169050,"version":"3.51.4"},"reference-count":121,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T00:00:00Z","timestamp":1661126400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T00:00:00Z","timestamp":1661126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s00521-022-07704-5","type":"journal-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T06:03:01Z","timestamp":1661148181000},"page":"19723-19749","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["Recent advances in multi-objective grey wolf optimizer, its versions and applications"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2894-7998","authenticated-orcid":false,"given":"Sharif Naser","family":"Makhadmeh","sequence":"first","affiliation":[]},{"given":"Osama Ahmad","family":"Alomari","sequence":"additional","affiliation":[]},{"given":"Seyedali","family":"Mirjalili","sequence":"additional","affiliation":[]},{"given":"Mohammed Azmi","family":"Al-Betar","sequence":"additional","affiliation":[]},{"given":"Ashraf","family":"Elnagar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,22]]},"reference":[{"key":"7704_CR1","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/978-1-4614-6940-7_15","volume-title":"Search methodologies","author":"K Deb","year":"2014","unstructured":"Deb K (2014) Multi-objective optimization. In: Burke E, Kendall G (eds) Search methodologies. Springer, Boston, pp 403\u2013449"},{"key":"7704_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-08883-8","volume-title":"Multiobjective optimization: principles and case studies","author":"Y Collette","year":"2004","unstructured":"Collette Y, Siarry P (2004) Multiobjective optimization: principles and case studies. Springer, Berlin"},{"issue":"6","key":"7704_CR3","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1016\/S0965-9978(00)00110-1","volume":"32","author":"J Branke","year":"2001","unstructured":"Branke J, Kau\u00dfler T, Schmeck H (2001) Guidance in evolutionary multi-objective optimization. Adv Eng Softw 32(6):499\u2013507","journal-title":"Adv Eng Softw"},{"issue":"6","key":"7704_CR4","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/s00158-003-0368-6","volume":"26","author":"RT Marler","year":"2004","unstructured":"Marler RT, Arora JS (2004) Survey of multi-objective optimization methods for engineering. Struct Multidiscip Optim 26(6):369\u2013395","journal-title":"Struct Multidiscip Optim"},{"key":"7704_CR5","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM (2017) Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw 114:163\u2013191","journal-title":"Adv Eng Softw"},{"key":"7704_CR6","doi-asserted-by":"crossref","unstructured":"Deb K (2012) Advances in evolutionary multi-objective optimization. In: International symposium on search based software engineering. Springer, pp 1\u201326","DOI":"10.1007\/978-3-642-33119-0_1"},{"key":"7704_CR7","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.eswa.2015.10.039","volume":"47","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Saremi S, Mirjalili SM, Coelho L.d.S (2016) Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization. Expert Syst Appl 47:106\u2013119","journal-title":"Expert Syst Appl"},{"key":"7704_CR8","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/978-3-540-44511-1_21","volume-title":"Knowledge incorporation in evolutionary computation","author":"J Branke","year":"2005","unstructured":"Branke J, Deb K (2005) Integrating user preferences into evolutionary multi-objective optimization. In: Jin Y (ed) Knowledge incorporation in evolutionary computation. Springer, Berlin, pp 461\u2013477"},{"key":"7704_CR9","volume-title":"Evolutionary algorithms for solving multi-objective problems","author":"CAC Coello","year":"2007","unstructured":"Coello CAC, Lamont GB, Van Veldhuizen DA et al (2007) Evolutionary algorithms for solving multi-objective problems, vol 5. Springer, Berlin"},{"key":"7704_CR10","unstructured":"Schaffer JD (1985) Multiple objective optimization with vector evaluated genetic algorithms. In: Proceedings of the first international conference on genetic algorithms and their applications, 1985. Lawrence Erlbaum Associates. Inc"},{"key":"7704_CR11","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.powtec.2017.11.012","volume":"325","author":"X Sun","year":"2018","unstructured":"Sun X, Yoon JY (2018) Multi-objective optimization of a gas cyclone separator using genetic algorithm and computational fluid dynamics. Powder Technol 325:347\u2013360","journal-title":"Powder Technol"},{"issue":"11","key":"7704_CR12","doi-asserted-by":"publisher","first-page":"3254","DOI":"10.1149\/2.0291711jes","volume":"164","author":"C Liu","year":"2017","unstructured":"Liu C, Liu L (2017) Optimal design of Li-ion batteries through multi-physics modeling and multi-objective optimization. J Electrochem Soc 164(11):3254","journal-title":"J Electrochem Soc"},{"key":"7704_CR13","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1016\/j.energy.2017.12.116","volume":"147","author":"AR Starke","year":"2018","unstructured":"Starke AR, Cardemil JM, Escobar R, Colle S (2018) Multi-objective optimization of hybrid CSP + PV system using genetic algorithm. Energy 147:490\u2013503","journal-title":"Energy"},{"key":"7704_CR14","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.ins.2020.03.032","volume":"523","author":"A-D Li","year":"2020","unstructured":"Li A-D, Xue B, Zhang M (2020) Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection. Inf Sci 523:245\u2013265","journal-title":"Inf Sci"},{"issue":"1","key":"7704_CR15","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1109\/TEVC.2019.2909744","volume":"24","author":"R Tanabe","year":"2019","unstructured":"Tanabe R, Ishibuchi H (2019) A review of evolutionary multimodal multiobjective optimization. IEEE Trans Evol Comput 24(1):193\u2013200","journal-title":"IEEE Trans Evol Comput"},{"issue":"6","key":"7704_CR16","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1109\/TSMCC.2012.2196996","volume":"42","author":"S Sengupta","year":"2012","unstructured":"Sengupta S, Das S, Nasir M, Vasilakos AV, Pedrycz W (2012) An evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks. IEEE Trans Syst Man Cybern C (Appl Rev) 42(6):1093\u20131102","journal-title":"IEEE Trans Syst Man Cybern C (Appl Rev)"},{"key":"7704_CR17","doi-asserted-by":"crossref","unstructured":"Wu M, Xiong N, Vasilakos AV, Leung VC, Chen CP (2020) RNN-K: a reinforced newton method for consensus-based distributed optimization and control over multiagent systems. IEEE Trans Cybern 52:4012\u20134026","DOI":"10.1109\/TCYB.2020.3011819"},{"key":"7704_CR18","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.ins.2018.10.005","volume":"509","author":"J-H Yi","year":"2020","unstructured":"Yi J-H, Xing L-N, Wang G-G, Dong J, Vasilakos AV, Alavi AH, Wang L (2020) Behavior of crossover operators in NSGA-III for large-scale optimization problems. Inf Sci 509:470\u2013487","journal-title":"Inf Sci"},{"key":"7704_CR19","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1016\/j.asoc.2017.02.034","volume":"61","author":"M Shehab","year":"2017","unstructured":"Shehab M, Khader AT, Al-Betar MA (2017) A survey on applications and variants of the cuckoo search algorithm. Appl Soft Comput 61:1041\u20131059","journal-title":"Appl Soft Comput"},{"key":"7704_CR20","doi-asserted-by":"publisher","first-page":"124431","DOI":"10.1016\/j.jhydrol.2019.124431","volume":"581","author":"Z Zhang","year":"2020","unstructured":"Zhang Z, Qin H, Yao L, Liu Y, Jiang Z, Feng Z, Ouyang S (2020) Improved multi-objective moth-flame optimization algorithm based on R-domination for cascade reservoirs operation. J Hydrol 581:124431","journal-title":"J Hydrol"},{"issue":"1","key":"7704_CR21","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s10489-016-0825-8","volume":"46","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Jangir P, Saremi S (2017) Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems. Appl Intell 46(1):79\u201395","journal-title":"Appl Intell"},{"key":"7704_CR22","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.eswa.2019.01.047","volume":"125","author":"M Abd Elaziz","year":"2019","unstructured":"Abd Elaziz M, Oliva D, Ewees AA, Xiong S (2019) Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer. Expert Syst Appl 125:112\u2013129","journal-title":"Expert Syst Appl"},{"issue":"1","key":"7704_CR23","first-page":"31","volume":"1","author":"U Y\u00fczge\u00e7","year":"2020","unstructured":"Y\u00fczge\u00e7 U, Kusoglu M (2020) Multi-objective Harris Hawks optimizer for multiobjective optimization problems. BSEU J Eng Res Technol 1(1):31\u201341","journal-title":"BSEU J Eng Res Technol"},{"issue":"9","key":"7704_CR24","doi-asserted-by":"publisher","first-page":"3643","DOI":"10.1007\/s12652-018-1085-8","volume":"10","author":"SN Makhadmeh","year":"2019","unstructured":"Makhadmeh SN, Khader AT, Al-Betar MA, Naim S (2019) Multi-objective power scheduling problem in smart homes using grey wolf optimiser. J Ambient Intell Humaniz Comput 10(9):3643\u20133667","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"2","key":"7704_CR25","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/s00521-017-3272-5","volume":"30","author":"H Faris","year":"2018","unstructured":"Faris H, Aljarah I, Al-Betar MA, Mirjalili S (2018) Grey wolf optimizer: a review of recent variants and applications. Neural Comput Appl 30(2):413\u2013435","journal-title":"Neural Comput Appl"},{"issue":"13","key":"7704_CR26","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.1080\/15325008.2015.1041625","volume":"43","author":"AA El-Fergany","year":"2015","unstructured":"El-Fergany AA, Hasanien HM (2015) Single and multi-objective optimal power flow using grey wolf optimizer and differential evolution algorithms. Electr Power Compon Syst 43(13):1548\u20131559","journal-title":"Electr Power Compon Syst"},{"key":"7704_CR27","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.eswa.2017.06.009","volume":"87","author":"K Nuaekaew","year":"2017","unstructured":"Nuaekaew K, Artrit P, Pholdee N, Bureerat S (2017) Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer. Expert Syst Appl 87:79\u201389","journal-title":"Expert Syst Appl"},{"key":"7704_CR28","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.energy.2018.12.213","volume":"171","author":"C Li","year":"2019","unstructured":"Li C, Wang W, Chen D (2019) Multi-objective complementary scheduling of hydro-thermal-re power system via a multi-objective hybrid grey wolf optimizer. Energy 171:241\u2013255","journal-title":"Energy"},{"key":"7704_CR29","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.engappai.2016.10.013","volume":"57","author":"C Lu","year":"2017","unstructured":"Lu C, Gao L, Li X, Xiao S (2017) A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry. Eng Appl Artif Intell 57:61\u201379","journal-title":"Eng Appl Artif Intell"},{"key":"7704_CR30","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.advengsoft.2016.06.004","volume":"99","author":"C Lu","year":"2016","unstructured":"Lu C, Xiao S, Li X, Gao L (2016) An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production. Adv Eng Softw 99:161\u2013176","journal-title":"Adv Eng Softw"},{"key":"7704_CR31","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1016\/j.asoc.2018.11.043","volume":"75","author":"C Lu","year":"2019","unstructured":"Lu C, Gao L, Pan Q, Li X, Zheng J (2019) A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution. Appl Soft Comput J 75:728\u2013749","journal-title":"Appl Soft Comput J"},{"key":"7704_CR32","first-page":"228","volume":"538","author":"T Nguyen","year":"2017","unstructured":"Nguyen T, Thom HTH, Dao T (2017) Estimation localization in wireless sensor network based on multi-objective grey wolf optimizer. Adv Intell Syst Comput AISC 538:228\u2013237","journal-title":"Adv Intell Syst Comput AISC"},{"issue":"3","key":"7704_CR33","doi-asserted-by":"publisher","first-page":"1909","DOI":"10.1007\/s11277-020-07951-6","volume":"117","author":"RP Pingale","year":"2021","unstructured":"Pingale RP, Shinde SN (2021) Multi-objective sunflower based grey wolf optimization algorithm for multipath routing in IoT network. Wirel Pers Commun 117(3):1909\u20131930","journal-title":"Wirel Pers Commun"},{"issue":"2","key":"7704_CR34","first-page":"218","volume":"8","author":"A Fatima","year":"2019","unstructured":"Fatima A, Javaid N, Butt AA, Sultana T, Hussain W, Bilal M, Hashmi MAR, Akbar M, Ilahi M (2019) An enhanced multi-objective gray wolf optimization for virtual machine placement in cloud data centers. Electronics (Switzerland) 8(2):218","journal-title":"Electronics (Switzerland)"},{"issue":"2","key":"7704_CR35","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1080\/03772063.2017.1409087","volume":"65","author":"K Sreenu","year":"2019","unstructured":"Sreenu K, Malempati S (2019) MFGMTS: epsilon constraint-based modified fractional grey wolf optimizer for multi-objective task scheduling in cloud computing. IETE J Res 65(2):201\u2013215","journal-title":"IETE J Res"},{"key":"7704_CR36","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"7704_CR37","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.jclepro.2018.08.065","volume":"202","author":"A Behnood","year":"2018","unstructured":"Behnood A, Golafshani EM (2018) Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves. J Clean Prod 202:54\u201364","journal-title":"J Clean Prod"},{"key":"7704_CR38","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1016\/j.procs.2015.09.006","volume":"65","author":"E Emary","year":"2015","unstructured":"Emary E, Yamany W, Hassanien AE, Snasel V (2015) Multi-objective gray-wolf optimization for attribute reduction. Procedia Comput Sci 65:623\u2013632","journal-title":"Procedia Comput Sci"},{"key":"7704_CR39","doi-asserted-by":"publisher","first-page":"1365","DOI":"10.1016\/j.jclepro.2019.06.151","volume":"234","author":"S Luo","year":"2019","unstructured":"Luo S, Zhang L, Fan Y (2019) Energy-efficient scheduling for multi-objective flexible job shops with variable processing speeds by grey wolf optimization. J Clean Prod 234:1365\u20131384","journal-title":"J Clean Prod"},{"key":"7704_CR40","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1016\/j.cie.2018.12.061","volume":"128","author":"H Qin","year":"2019","unstructured":"Qin H, Fan P, Tang H, Huang P, Fang B, Pan S (2019) An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint. Comput Ind Eng 128:458\u2013476","journal-title":"Comput Ind Eng"},{"key":"7704_CR41","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/j.eswa.2018.12.003","volume":"120","author":"S Zapotecas-Mart\u00ednez","year":"2019","unstructured":"Zapotecas-Mart\u00ednez S, Garc\u00eda-N\u00e1jera A, L\u00f3pez-Jaimes A (2019) Multi-objective grey wolf optimizer based on decomposition. Expert Syst Appl 120:357\u2013371","journal-title":"Expert Syst Appl"},{"key":"7704_CR42","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1007\/s13198-019-00781-1","volume":"10","author":"A Kumar","year":"2019","unstructured":"Kumar A, Pant S, Ram M, Chaube S (2019) Multi-objective grey wolf optimizer approach to the reliability-cost optimization of life support system in space capsule. Int J Syst Assur Eng Manag 10:276\u2013284","journal-title":"Int J Syst Assur Eng Manag"},{"key":"7704_CR43","doi-asserted-by":"crossref","unstructured":"Moazzami M, Ghanbari M, Shahinzadeh H, Moradi J, Gharehpetian GB (2018) Application of multi-objective grey wolf algorithm on energy management of microgrids with techno-economic and environmental considerations. In: 3rd conference on swarm intelligence and evolutionary computation, CSIEC 2018, pp 1\u20139","DOI":"10.1109\/CSIEC.2018.8405408"},{"key":"7704_CR44","doi-asserted-by":"publisher","first-page":"109856","DOI":"10.1016\/j.rser.2020.109856","volume":"127","author":"H Lu","year":"2020","unstructured":"Lu H, Ma X, Huang K, Azimi M (2020) Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer. Renew Sustain Energy Rev 127:109856","journal-title":"Renew Sustain Energy Rev"},{"key":"7704_CR45","doi-asserted-by":"publisher","first-page":"159931","DOI":"10.1109\/ACCESS.2020.3018722","volume":"8","author":"D Yousri","year":"2020","unstructured":"Yousri D, Thanikanti SB, Balasubramanian K, Osama A, Fathy A (2020) Multi-objective grey wolf optimizer for optimal design of switching matrix for shaded PV array dynamic reconfiguration. IEEE Access 8:159931\u2013159946","journal-title":"IEEE Access"},{"key":"7704_CR46","doi-asserted-by":"publisher","first-page":"3643","DOI":"10.1007\/s12652-018-1085-8","volume":"10","author":"SN Makhadmeh","year":"2018","unstructured":"Makhadmeh SN, Khader AT, Al-Betar MA, Naim S (2018) Multi-objective power scheduling problem in smart homes using grey wolf optimiser. J Ambient Intell Humaniz Comput 10:3643\u20133667","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"7704_CR47","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/978-981-10-5523-2_18","volume":"19","author":"L Dilip","year":"2018","unstructured":"Dilip L, Bhesdadiya R, Trivedi I, Jangir P (2018) Optimal power flow problem solution using multi-objective grey wolf optimizer algorithm. Lect Notes Netw Syst 19:191\u2013201","journal-title":"Lect Notes Netw Syst"},{"key":"7704_CR48","doi-asserted-by":"publisher","first-page":"37707","DOI":"10.1109\/ACCESS.2021.3063723","volume":"9","author":"D Alsadie","year":"2021","unstructured":"Alsadie D (2021) TSMGWO: optimizing task schedule using multi-objectives grey wolf optimizer for cloud data centers. IEEE Access 9:37707\u201337725","journal-title":"IEEE Access"},{"issue":"8","key":"7704_CR49","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.18178\/ijmerr.9.8.1219-1225","volume":"9","author":"S Sukpancharoen","year":"2020","unstructured":"Sukpancharoen S, Srinophakun TR, Aungkulanon P (2020) Grey wolf optimizer (GWO) with multi-objective optimization for biodiesel production from waste cooking oil using central composite design (CCD). Int J Mech Eng Robot Res 9(8):1219\u20131225","journal-title":"Int J Mech Eng Robot Res"},{"issue":"4","key":"7704_CR50","first-page":"1","volume":"10","author":"SN Makhadmeh","year":"2021","unstructured":"Makhadmeh SN, Al-Betar MA, Alyasseri ZAA, Abasi AK, Khader AT, Dama\u0161evi\u010dius R, Mohammed MA, Abdulkareem KH (2021) Smart home battery for the multi-objective power scheduling problem in a smart home using grey wolf optimizer. Electronics (Switzerland) 10(4):1\u201335","journal-title":"Electronics (Switzerland)"},{"issue":"11","key":"7704_CR51","doi-asserted-by":"publisher","first-page":"e12100","DOI":"10.1002\/2050-7038.12100","volume":"29","author":"G Selvaraj","year":"2019","unstructured":"Selvaraj G, Rajangam K (2019) Multi-objective grey wolf optimizer algorithm for combination of network reconfiguration and D-STATCOM allocation in distribution system. Int Trans Electr Energy Syst 29(11):e12100","journal-title":"Int Trans Electr Energy Syst"},{"key":"7704_CR52","doi-asserted-by":"crossref","unstructured":"Tlili S, Mnasri S, Val T (2021) A multi-objective gray wolf algorithm for routing in IoT collection networks with real experiments. In: Proceedings\u20142021 IEEE 4th national computing colleges conference, NCCC 2021","DOI":"10.1109\/NCCC49330.2021.9428865"},{"key":"7704_CR53","doi-asserted-by":"publisher","first-page":"4615","DOI":"10.1109\/JIOT.2021.3105425","volume":"9","author":"A Ojha","year":"2021","unstructured":"Ojha A, Chanak P (2021) Multi-objective gray wolf optimization based data routing scheme for wireless sensor networks. IEEE Internet Things J 9:4615\u20134623","journal-title":"IEEE Internet Things J"},{"issue":"4","key":"7704_CR54","first-page":"197","volume":"23","author":"B Sultana","year":"2015","unstructured":"Sultana B, Mustafa MW (2015) Grey wolf optimization algorithm for multi-objective distribution system reconfiguration considering greenhouse gas emissions and loss. Eng Intell Syst 23(4):197\u2013208","journal-title":"Eng Intell Syst"},{"issue":"9","key":"7704_CR55","doi-asserted-by":"publisher","first-page":"3735","DOI":"10.1007\/s12652-019-01569-8","volume":"11","author":"TA Alamiedy","year":"2020","unstructured":"Alamiedy TA, Anbar M, Alqattan ZNM, Alzubi QM (2020) Anomaly-based intrusion detection system using multi-objective grey wolf optimisation algorithm. J Ambient Intell Humaniz Comput 11(9):3735\u20133756","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"10","key":"7704_CR56","doi-asserted-by":"publisher","first-page":"9611","DOI":"10.1007\/s12652-020-02701-9","volume":"12","author":"G Yildirim","year":"2021","unstructured":"Yildirim G, Alatas B (2021) New adaptive intelligent grey wolf optimizer based multi-objective quantitative classification rules mining approaches. J Ambient Intell Humaniz Comput 12(10):9611\u20139635","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"14","key":"7704_CR57","first-page":"2931","volume":"9","author":"A Kamalova","year":"2019","unstructured":"Kamalova A, Navruzov S, Qian D, Lee SG (2019) Multi-robot exploration based on multi-objective grey wolf optimizer. Appl Sci (Switzerland) 9(14):2931","journal-title":"Appl Sci (Switzerland)"},{"issue":"2","key":"7704_CR58","first-page":"926","volume":"7","author":"S Kahla","year":"2017","unstructured":"Kahla S, Soufi Y, Sedraoui M, Bechouat M (2017) Maximum power point tracking of wind energy conversion system using multi-objective grey wolf optimization of fuzzy-sliding mode controller. Int J Renew Energy Res 7(2):926\u2013936","journal-title":"Int J Renew Energy Res"},{"key":"7704_CR59","doi-asserted-by":"publisher","first-page":"117257","DOI":"10.1016\/j.apenergy.2021.117257","volume":"298","author":"J Chen","year":"2021","unstructured":"Chen J, Huang S, Shahabi L (2021) Economic and environmental operation of power systems including combined cooling, heating, power and energy storage resources using developed multi-objective grey wolf algorithm. Appl Energy 298:117257","journal-title":"Appl Energy"},{"issue":"1","key":"7704_CR60","first-page":"180","volume":"10","author":"SB Pandya","year":"2020","unstructured":"Pandya SB, Jariwala HR (2020) Renewable energy resources integrated multi-objective optimal power flow using non-dominated sort grey wolf optimizer. J Green Eng 10(1):180\u2013205","journal-title":"J Green Eng"},{"key":"7704_CR61","doi-asserted-by":"publisher","first-page":"114231","DOI":"10.1016\/j.enconman.2021.114231","volume":"239","author":"A Habibollahzade","year":"2021","unstructured":"Habibollahzade A, Fakhari I, Mohsenian S, Aberoumand H, Taylor RA (2021) Multi-objective grey wolf optimization of solar chimneys based on an improved model incorporating a wind turbine power curve. Energy Convers Manag 239:114231","journal-title":"Energy Convers Manag"},{"key":"7704_CR62","doi-asserted-by":"publisher","first-page":"131980","DOI":"10.1016\/j.chemosphere.2021.131980","volume":"287","author":"F Musharavati","year":"2022","unstructured":"Musharavati F, Khoshnevisan A, Alirahmi SM, Ahmadi P, Khanmohammadi S (2022) Multi-objective optimization of a biomass gasification to generate electricity and desalinated water using grey wolf optimizer and artificial neural network. Chemosphere 287:131980","journal-title":"Chemosphere"},{"issue":"14","key":"7704_CR63","doi-asserted-by":"publisher","first-page":"2765","DOI":"10.1049\/iet-rpg.2020.0330","volume":"14","author":"HMK Al-Masri","year":"2020","unstructured":"Al-Masri HMK, Al-Sharqi AA (2020) Technical design and optimal energy management of a hybrid photovoltaic biogas energy system using multi-objective grey wolf optimisation. IET Renew Power Gener 14(14):2765\u20132778","journal-title":"IET Renew Power Gener"},{"issue":"12","key":"7704_CR64","first-page":"398","volume":"10","author":"H Xuan","year":"2019","unstructured":"Xuan H, Lin L, Qiao L, Zhou Y (2019) Grey wolf algorithm and multi-objective model for the manycast RSA problem in EONs. Information (Switzerland) 10(12):398","journal-title":"Information (Switzerland)"},{"key":"7704_CR65","doi-asserted-by":"crossref","unstructured":"Luo Y, Lu C, Li X, Wang L, Gao L (2019) Green job shop scheduling problem with machine at different speeds using a multi-objective grey wolf optimization algorithm. In: IEEE international conference on automation science and engineering, vol 2019-August, pp 573\u2013578","DOI":"10.1109\/COASE.2019.8843132"},{"key":"7704_CR66","doi-asserted-by":"publisher","first-page":"107703","DOI":"10.1016\/j.anucene.2020.107703","volume":"148","author":"A Naserbegi","year":"2020","unstructured":"Naserbegi A, Aghaie M, Zolfaghari A (2020) Implementation of grey wolf optimization (GWO) algorithm to multi-objective loading pattern optimization of a PWR reactor. Ann Nucl Energy 148:107703","journal-title":"Ann Nucl Energy"},{"issue":"7","key":"7704_CR67","doi-asserted-by":"publisher","first-page":"1845","DOI":"10.3390\/s20071845","volume":"20","author":"X Gu","year":"2020","unstructured":"Gu X, Yang S, Liu Y, Hao R, Liu Z (2020) Multi-objective informative frequency band selection based on negentropy-induced grey wolf optimizer for fault diagnosis of rolling element bearings. Sensors (Switzerland) 20(7):1845","journal-title":"Sensors (Switzerland)"},{"issue":"1","key":"7704_CR68","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s11107-019-00843-1","volume":"38","author":"B Merikhi","year":"2019","unstructured":"Merikhi B, Mirjalili SM, Zoghi M, Mirjalili SZ, Mirjalili S (2019) Radiation pattern design of photonic crystal led optimized by using multi-objective grey wolf optimizer. Photon Netw Commun 38(1):167\u2013176","journal-title":"Photon Netw Commun"},{"issue":"3","key":"7704_CR69","doi-asserted-by":"publisher","first-page":"179","DOI":"10.5267\/j.esm.2019.5.005","volume":"7","author":"MNP Meibody","year":"2019","unstructured":"Meibody MNP, Naseh H, Ommi F (2019) A kriging based multi objective gray wolf optimization for hydrazine catalyst bed. Eng Solid Mech 7(3):179\u2013192","journal-title":"Eng Solid Mech"},{"issue":"2","key":"7704_CR70","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1007\/s12065-020-00446-0","volume":"14","author":"TK Dash","year":"2021","unstructured":"Dash TK, Solanki SS, Panda G, Satapathy SC (2021) Development of statistical estimators for speech enhancement using multi-objective grey wolf optimizer. Evol Intell 14(2):767\u2013778","journal-title":"Evol Intell"},{"key":"7704_CR71","doi-asserted-by":"publisher","first-page":"141046","DOI":"10.1109\/ACCESS.2020.3011509","volume":"8","author":"X Jiang","year":"2020","unstructured":"Jiang X, Li J, Lu Y, Tian G (2020) Design of reverse logistics network for remanufacturing waste machine tools based on multi-objective gray wolf optimization algorithm. IEEE Access 8:141046\u2013141056","journal-title":"IEEE Access"},{"key":"7704_CR72","doi-asserted-by":"publisher","first-page":"106247","DOI":"10.1109\/ACCESS.2020.3000040","volume":"8","author":"Q Al-Tashi","year":"2020","unstructured":"Al-Tashi Q, Abdulkadir SJ, Rais HM, Mirjalili S, Alhussian H, Ragab MG, Alqushaibi A (2020) Binary multi-objective grey wolf optimizer for feature selection in classification. IEEE Access 8:106247\u2013106263","journal-title":"IEEE Access"},{"key":"7704_CR73","doi-asserted-by":"publisher","first-page":"107745","DOI":"10.1016\/j.asoc.2021.107745","volume":"111","author":"D Moldovan","year":"2021","unstructured":"Moldovan D, Slowik A (2021) Energy consumption prediction of appliances using machine learning and multi-objective binary grey wolf optimization for feature selection. Appl Soft Comput 111:107745","journal-title":"Appl Soft Comput"},{"key":"7704_CR74","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.asoc.2016.12.022","volume":"52","author":"A Sahoo","year":"2017","unstructured":"Sahoo A, Chandra S (2017) Multi-objective grey wolf optimizer for improved cervix lesion classification. App Soft Comput J 52:64\u201380","journal-title":"App Soft Comput J"},{"issue":"8","key":"7704_CR75","first-page":"2295","volume":"27","author":"J Gu","year":"2021","unstructured":"Gu J, Jiang T, Zhu H (2021) Energy-saving job shop scheduling problem with multi-objective discrete grey wolf optimization algorithm. Jisuanji Jicheng Zhizao Xitong\/Comput Integr Manuf Syst CIMS 27(8):2295\u20132306","journal-title":"Jisuanji Jicheng Zhizao Xitong\/Comput Integr Manuf Syst CIMS"},{"key":"7704_CR76","first-page":"1455","volume":"24","author":"M Karakoyun","year":"2021","unstructured":"Karakoyun M, Gulcu S, Kodaz H (2021) D-MOSG: discrete multi-objective shuffled gray wolf optimizer for multi-level image thresholding. Eng Sci Technol Int J 24:1455\u20131466","journal-title":"Eng Sci Technol Int J"},{"key":"7704_CR77","doi-asserted-by":"crossref","unstructured":"Zhang Z, Guo X, Zhou M, Liu S, Qi L (2020) Multi-objective discrete grey wolf optimizer for solving stochastic multi-objective disassembly sequencing and line balancing problem. IEEE Trans Syst Man Cybern Syst 682\u2013687","DOI":"10.1109\/SMC42975.2020.9283184"},{"issue":"1","key":"7704_CR78","doi-asserted-by":"publisher","first-page":"831","DOI":"10.3233\/JIFS-17148","volume":"35","author":"K Sreenu","year":"2018","unstructured":"Sreenu K, Malempati S (2018) FGMTS: fractional grey wolf optimizer for multi-objective task scheduling strategy in cloud computing. J Intell Fuzzy Syst 35(1):831\u2013844","journal-title":"J Intell Fuzzy Syst"},{"key":"7704_CR79","doi-asserted-by":"crossref","unstructured":"Suresh M, Shatheesh Sam I (2020) Optimized interesting region identification for video steganography using fractional grey wolf optimization along with multi-objective cost function. J King Saud Univ Comput Inf Sci 34:3489\u20133496","DOI":"10.1016\/j.jksuci.2020.08.007"},{"key":"7704_CR80","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.ins.2015.09.055","volume":"330","author":"W Fang","year":"2016","unstructured":"Fang W, Sun J, Chen H, Wu X (2016) A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population. Inf Sci 330:19\u201348","journal-title":"Inf Sci"},{"issue":"20","key":"7704_CR81","doi-asserted-by":"publisher","first-page":"4460","DOI":"10.1016\/j.ins.2010.05.025","volume":"181","author":"Y Shi","year":"2011","unstructured":"Shi Y, Liu H, Gao L, Zhang G (2011) Cellular particle swarm optimization. Inf Sci 181(20):4460\u20134493","journal-title":"Inf Sci"},{"key":"7704_CR82","doi-asserted-by":"publisher","first-page":"103695","DOI":"10.1016\/j.jngse.2020.103695","volume":"85","author":"K Biswas","year":"2021","unstructured":"Biswas K, Vasant PM, Gamez Vintaned JA, Watada J (2021) Cellular automata-based multi-objective hybrid grey wolf optimization and particle swarm optimization algorithm for wellbore trajectory optimization. J Nat Gas Sci Eng 85:103695","journal-title":"J Nat Gas Sci Eng"},{"issue":"6","key":"7704_CR83","first-page":"2289","volume":"15","author":"K Jiang","year":"2019","unstructured":"Jiang K, Ni H, Han R, Wang X (2019) An improved multi-objective grey wolf optimizer for dependent task scheduling in edge computing. Int J Innov Comput Inf Control 15(6):2289\u20132304","journal-title":"Int J Innov Comput Inf Control"},{"issue":"22","key":"7704_CR84","doi-asserted-by":"publisher","first-page":"17401","DOI":"10.1007\/s00500-020-05027-y","volume":"24","author":"Y Zhao","year":"2020","unstructured":"Zhao Y, Li W, Liu A (2020) Optimization of geometry quality model for wire and arc additive manufacture based on adaptive multi-objective grey wolf algorithm. Soft Comput 24(22):17401\u201317416","journal-title":"Soft Comput"},{"key":"7704_CR85","doi-asserted-by":"crossref","unstructured":"Yang Z, Liu C, Qian W (2017) An improved multi-objective grey wolf optimization algorithm for fuzzy blocking flow shop scheduling problem. In: Proceedings of 2017 IEEE 2nd advanced information technology, electronic and automation control conference, IAEAC 2017, pp 661\u2013667","DOI":"10.1109\/IAEAC.2017.8054099"},{"key":"7704_CR86","doi-asserted-by":"crossref","unstructured":"Khubroo M, Mousavirad SJ (2019) A levy flight-based decomposition multi-objective optimization based on grey wolf optimizer. In: 2019 9th international conference on computer and knowledge engineering, ICCKE 2019, pp 155\u2013161","DOI":"10.1109\/ICCKE48569.2019.8965178"},{"key":"7704_CR87","doi-asserted-by":"crossref","unstructured":"Mohamed A-A, El-Gaafary AAM, Mohamed YS, Hemeida AM (2017) Multi-objective modified grey wolf optimizer for optimal power flow. In: 2016 18th international middle-east power systems conference, MEPCON 2016 - Proceedings, pp 982\u2013990","DOI":"10.1109\/MEPCON.2016.7837016"},{"issue":"17","key":"7704_CR88","doi-asserted-by":"publisher","first-page":"13305","DOI":"10.1007\/s00500-020-04745-7","volume":"24","author":"A Korashy","year":"2020","unstructured":"Korashy A, Kamel S, Nasrat L, Jurado F (2020) Developed multi-objective grey wolf optimizer with fuzzy logic decision-making tool for direction overcurrent relays coordination. Soft Comput 24(17):13305\u201313317","journal-title":"Soft Comput"},{"key":"7704_CR89","doi-asserted-by":"crossref","unstructured":"Zhou B, Liu J, Yi L (2019) Multi-user power optimizationbased on multi-objective grey wolf optimizer. In: 2019 22nd international conference on electrical machines and systems, ICEMS 2019","DOI":"10.1109\/ICEMS.2019.8922200"},{"key":"7704_CR90","doi-asserted-by":"publisher","first-page":"106003","DOI":"10.1016\/j.asoc.2019.106003","volume":"87","author":"Y Yang","year":"2020","unstructured":"Yang Y, Yang B, Wang S, Jin T, Li S (2020) An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing. Appl Soft Comput J 87:106003","journal-title":"Appl Soft Comput J"},{"key":"7704_CR91","doi-asserted-by":"publisher","first-page":"114134","DOI":"10.1016\/j.eswa.2019.113134","volume":"145","author":"J Liu","year":"2020","unstructured":"Liu J, Yang Z, Li D (2020) A multiple search strategies based grey wolf optimizer for solving multi-objective optimization problems. Expert Syst Appl 145:114134","journal-title":"Expert Syst Appl"},{"issue":"3","key":"7704_CR92","doi-asserted-by":"publisher","first-page":"2857","DOI":"10.3233\/JIFS-171688","volume":"36","author":"M Javidsharifi","year":"2019","unstructured":"Javidsharifi M, Niknam T, Aghaei J, Mokryani G, Papadopoulos P (2019) Multi-objective day-ahead scheduling of microgrids using modified grey wolf optimizer algorithm. J Intell Fuzzy Syst 36(3):2857\u20132870","journal-title":"J Intell Fuzzy Syst"},{"issue":"4","key":"7704_CR93","doi-asserted-by":"publisher","first-page":"3115","DOI":"10.1007\/s13369-020-05084-3","volume":"46","author":"G Eappen","year":"2021","unstructured":"Eappen G, Shankar T (2021) Multi-objective modified grey wolf optimization algorithm for efficient spectrum sensing in the cognitive radio network. Arab J Sci Eng 46(4):3115\u20133145","journal-title":"Arab J Sci Eng"},{"key":"7704_CR94","doi-asserted-by":"publisher","first-page":"114402","DOI":"10.1016\/j.enconman.2021.114402","volume":"243","author":"C Wang","year":"2021","unstructured":"Wang C, Zhang S, Xiao L, Fu T (2021) Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: a case study in Eastern China. Energy Convers Manag 243:114402","journal-title":"Energy Convers Manag"},{"key":"7704_CR95","doi-asserted-by":"publisher","first-page":"104183","DOI":"10.1016\/j.engappai.2021.104183","volume":"100","author":"K Meng","year":"2021","unstructured":"Meng K, Tang Q, Zhang Z, Yu C (2021) Solving multi-objective model of assembly line balancing considering preventive maintenance scenarios using heuristic and grey wolf optimizer algorithm. Eng Appl Artif Intell 100:104183","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"7704_CR96","doi-asserted-by":"publisher","first-page":"e03585","DOI":"10.1016\/j.heliyon.2020.e03585","volume":"6","author":"A Darvish Falehi","year":"2020","unstructured":"Darvish Falehi A (2020) Novel harmonic elimination strategy based on multi-objective grey wolf optimizer to ameliorate voltage quality of odd-nary multi-level structure. Heliyon 6(3):e03585","journal-title":"Heliyon"},{"key":"7704_CR97","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/978-981-13-8196-6_22","volume":"949","author":"GVA Kumar","year":"2020","unstructured":"Kumar GVA, Narasimhamu KL (2020) Multi-objective optimization in WEDM of Inconel 750 alloy: application of TOPSIS embedded grey wolf optimizer. Adv Intell Syst Comput 949:231\u2013240","journal-title":"Adv Intell Syst Comput"},{"key":"7704_CR98","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.swevo.2019.04.006","volume":"49","author":"P Siddavaatam","year":"2019","unstructured":"Siddavaatam P, Sedaghat R (2019) Grey wolf optimizer driven design space exploration: a novel framework for multi-objective trade-off in architectural synthesis. Swarm Evol Comput 49:44\u201361","journal-title":"Swarm Evol Comput"},{"key":"7704_CR99","doi-asserted-by":"publisher","first-page":"2342","DOI":"10.1049\/cmu2.12274","volume":"15","author":"M Hashemi","year":"2021","unstructured":"Hashemi M, Javaheri D, Sabbagh P, Arandian B, Abnoosian K (2021) A multi-objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm. IET Commun 15:2342\u20132353","journal-title":"IET Commun"},{"issue":"12","key":"7704_CR100","first-page":"3302","volume":"26","author":"K Meng","year":"2020","unstructured":"Meng K, Tang Q, Zhang Z, Lu C, Deng M (2020) Integrated optimization of assembly line balance and preventive maintenance based on improved multi-objective grey wolf algorithm. Jisuanji Jicheng Zhizao Xitong\/Comput Integr Manuf Syst CIMS 26(12):3302\u20133312","journal-title":"Jisuanji Jicheng Zhizao Xitong\/Comput Integr Manuf Syst CIMS"},{"issue":"10","key":"7704_CR101","first-page":"1990","volume":"46","author":"H Xing","year":"2020","unstructured":"Xing H, Wu H, Chen Y, Zhang X (2020) Multi-efficiency optimization method of jamming resource based on multi-objective grey wolf optimizer. Beijing Hangkong Hangtian Daxue Xuebao\/J Beijing Univ Aeronaut Astronaut 46(10):1990\u20131998","journal-title":"Beijing Hangkong Hangtian Daxue Xuebao\/J Beijing Univ Aeronaut Astronaut"},{"key":"7704_CR102","doi-asserted-by":"crossref","unstructured":"Wei GU (2020) An improved multi-objective grey wolf optimization algorithm with dynamic chaos local search mechanism. IEEE Joint Int Inf Technol Artif Intell Conf 9:2020\u20132024","DOI":"10.1109\/ITAIC49862.2020.9338760"},{"issue":"1\u20132","key":"7704_CR103","first-page":"67","volume":"17","author":"D Kumar","year":"2020","unstructured":"Kumar D, Kumar S, Bansal R (2020) Multi-objective multi-join query optimisation using modified grey wolf optimisation. Int J Adv Intell Parad 17(1\u20132):67\u201379","journal-title":"Int J Adv Intell Parad"},{"key":"7704_CR104","doi-asserted-by":"publisher","first-page":"100793","DOI":"10.1016\/j.swevo.2020.100793","volume":"60","author":"SN Makhadmeh","year":"2021","unstructured":"Makhadmeh SN, Khader AT, Al-Betar MA, Naim S, Abasi AK, Alyasseri ZAA (2021) A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home. Swarm Evol Comput 60:100793","journal-title":"Swarm Evol Comput"},{"key":"7704_CR105","doi-asserted-by":"crossref","unstructured":"Yang Z, Liu C (2018) A hybrid multi-objective gray wolf optimization algorithm for a fuzzy blocking flow shop scheduling problem. Adv Mech Eng 10(3):1\u201313","DOI":"10.1177\/1687814018765535"},{"key":"7704_CR106","doi-asserted-by":"publisher","first-page":"106280","DOI":"10.1016\/j.cie.2020.106280","volume":"140","author":"Z Zhu","year":"2020","unstructured":"Zhu Z, Zhou X (2020) An efficient evolutionary grey wolf optimizer for multi-objective flexible job shop scheduling problem with hierarchical job precedence constraints. Comput Ind Eng 140:106280","journal-title":"Comput Ind Eng"},{"issue":"10","key":"7704_CR107","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1093\/comjnl\/bxy009","volume":"61","author":"N Gobalakrishnan","year":"2018","unstructured":"Gobalakrishnan N, Arun C (2018) A new multi-objective optimal programming model for task scheduling using genetic gray wolf optimization in cloud computing. Comput J 61(10):1523\u20131536","journal-title":"Comput J"},{"issue":"12","key":"7704_CR108","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/pr8121581","volume":"8","author":"W Zhu","year":"2020","unstructured":"Zhu W, Guo J, Zhao G, Zeng B (2020) Optimal sizing of an island hybrid microgrid based on improved multi-objective grey wolf optimizer. Processes 8(12):1\u201324","journal-title":"Processes"},{"issue":"7","key":"7704_CR109","doi-asserted-by":"publisher","first-page":"2050100","DOI":"10.1142\/S0218126620501005","volume":"29","author":"M Gokuldhev","year":"2020","unstructured":"Gokuldhev M, Singaravel G, Ram Mohan NR (2020) Multi-objective local pollination-based gray wolf optimizer for task scheduling heterogeneous cloud environment. J Circuits Syst Comput 29(7):2050100","journal-title":"J Circuits Syst Comput"},{"key":"7704_CR110","doi-asserted-by":"publisher","first-page":"106560","DOI":"10.1016\/j.asoc.2020.106560","volume":"96","author":"M Karakoyun","year":"2020","unstructured":"Karakoyun M, Ozkis A, Kodaz H (2020) A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems. Appl Soft Comput J 96:106560","journal-title":"Appl Soft Comput J"},{"key":"7704_CR111","doi-asserted-by":"publisher","first-page":"102711","DOI":"10.1016\/j.dsp.2020.102711","volume":"101","author":"S Karasu","year":"2020","unstructured":"Karasu S, Sara\u00e7 Z (2020) Classification of power quality disturbances by 2D-Riesz transform, multi-objective grey wolf optimizer and machine learning methods. Digit Signal Process Rev J 101:102711","journal-title":"Digit Signal Process Rev J"},{"issue":"3","key":"7704_CR112","first-page":"6096","volume":"29","author":"SAM Ghaleb","year":"2020","unstructured":"Ghaleb SAM, Vasanthi V (2020) Energy efficient multipath routing using multi-objective grey wolf optimizer based dynamic source routing algorithm for manet. Int J Adv Sci Technol 29(3):6096\u20136117","journal-title":"Int J Adv Sci Technol"},{"issue":"3","key":"7704_CR113","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1109\/TSMCA.2004.824873","volume":"34","author":"M Farina","year":"2004","unstructured":"Farina M, Amato P (2004) A fuzzy definition of \u201coptimality\u2019\u2019 for many-criteria optimization problems. IEEE Trans Syst Man Cybern A Syst Hum 34(3):315\u2013326","journal-title":"IEEE Trans Syst Man Cybern A Syst Hum"},{"key":"7704_CR114","doi-asserted-by":"crossref","unstructured":"L\u00f3pez\u00a0Jaimes A, Coello\u00a0Coello CA (2009) Some techniques to deal with many-objective problems. In: Proceedings of the 11th annual conference companion on genetic and evolutionary computation conference: late breaking papers, pp 2693\u20132696","DOI":"10.1145\/1570256.1570386"},{"key":"7704_CR115","doi-asserted-by":"crossref","unstructured":"Farina M, Amato P (2003) Fuzzy optimality and evolutionary multiobjective optimization. In: International conference on evolutionary multi-criterion optimization. Springer, pp 58\u201372","DOI":"10.1007\/3-540-36970-8_5"},{"key":"7704_CR116","doi-asserted-by":"crossref","unstructured":"Khah SM, Mahboob AS, Shahbandegan S, Zahiri SH (2020) Optimal design of a low power, high speed one-bit full adder using multi-objective grey wolf optimizer. In: 6th Iranian conference on signal processing and intelligent systems, ICSPIS 2020","DOI":"10.1109\/ICSPIS51611.2020.9349561"},{"issue":"8","key":"7704_CR117","first-page":"334","volume":"8","author":"A Sasikumar","year":"2017","unstructured":"Sasikumar A, Rajappa M (2017) A design of low power transconductance operational amplifier using multi-objective grey wolf optimization technique. Int J Mech Eng Technol 8(8):334\u2013340","journal-title":"Int J Mech Eng Technol"},{"issue":"2","key":"7704_CR118","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.32604\/cmc.2022.016488","volume":"70","author":"M Premkumar","year":"2022","unstructured":"Premkumar M, Jangir P, Kumar BS, Alqudah MA, Nisar KS (2022) Multi-objective grey wolf optimization algorithm for solving real-world BLDC motor design problem. Comput Mater Continua 70(2):2435\u20132452","journal-title":"Comput Mater Continua"},{"key":"7704_CR119","doi-asserted-by":"crossref","unstructured":"Mahanta GB, Rout A, Gunji B, Deepak BBVL, Biswal BB (2020) Multi-objective design optimization of a bioinspired underactuated robotic gripper using multi-objective grey wolf optimizer. In: Lecture notes in mechanical engineering, pp 1497\u20131509","DOI":"10.1007\/978-981-15-0124-1_131"},{"issue":"3","key":"7704_CR120","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1007\/s10064-020-02090-5","volume":"80","author":"Q Ling","year":"2021","unstructured":"Ling Q, Zhang Q, Wei Y, Kong L, Zhu L (2021) Slope reliability evaluation based on multi-objective grey wolf optimization-multi-kernel-based extreme learning machine agent model. Bull Eng Geol Env 80(3):2011\u20132024","journal-title":"Bull Eng Geol Env"},{"key":"7704_CR121","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.knosys.2018.10.021","volume":"164","author":"N Saini","year":"2019","unstructured":"Saini N, Saha S, Jangra A, Bhattacharyya P (2019) Extractive single document summarization using multi-objective optimization: exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm. Knowl-Based Syst 164:45\u201367","journal-title":"Knowl-Based Syst"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07704-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07704-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07704-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,26]],"date-time":"2023-11-26T00:26:27Z","timestamp":1700958387000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07704-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,22]]},"references-count":121,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["7704"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07704-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,22]]},"assertion":[{"value":"28 December 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 August 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 August 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}