{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T05:46:36Z","timestamp":1768715196396,"version":"3.49.0"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T00:00:00Z","timestamp":1693872000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T00:00:00Z","timestamp":1693872000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Key Research and Development Project of Hubei Province","award":["No. 2020BAB114"],"award-info":[{"award-number":["No. 2020BAB114"]}]},{"name":"the Key Project of Science and Technology Research Program of Hubei Educational Committee","award":["No. D20211402"],"award-info":[{"award-number":["No. D20211402"]}]},{"name":"the Project of Xiangyang Industrial Institute of Hubei University of Technology","award":["No. XYYJ2022C04"],"award-info":[{"award-number":["No. XYYJ2022C04"]}]},{"name":"the Open Foundation of Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System","award":["No. HBSEES201903 & HBSEES202106"],"award-info":[{"award-number":["No. HBSEES201903 & HBSEES202106"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s11227-023-05617-1","type":"journal-article","created":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T10:02:48Z","timestamp":1693908168000},"page":"3589-3643","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["SLDChOA: a comprehensive and competitive multi-strategy-enhanced chimp algorithm for global optimization and engineering design"],"prefix":"10.1007","volume":"80","author":[{"given":"Quan","family":"Yuan","sequence":"first","affiliation":[]},{"given":"Shanshan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Mai","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Zeng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"issue":"4","key":"5617_CR1","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1109\/MAHC.1984.10036","volume":"6","author":"BA Trakhtenbrot","year":"1984","unstructured":"Trakhtenbrot BA (1984) A survey of Russian approaches to perebor (brute-force searches) algorithms. Ann Hist Comput 6(4):384\u2013400","journal-title":"Ann Hist Comput"},{"issue":"1","key":"5617_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.46632\/rmc\/3\/1\/1","volume":"3","author":"S Chinnasamy","year":"2022","unstructured":"Chinnasamy S, Ramachandran M, Amudha M, Ramu K (2022) A review on hill climbing optimization methodology. Recent Trends Manag Commer 3(1):1","journal-title":"Recent Trends Manag Commer"},{"key":"5617_CR3","doi-asserted-by":"crossref","unstructured":"Pop PC, Cosma O, Sabo C, Sitar CP (2023) A comprehensive survey on the generalized traveling salesman problem. Eur J Oper Res","DOI":"10.1016\/j.ejor.2023.07.022"},{"issue":"4","key":"5617_CR4","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1007\/s10288-011-0193-5","volume":"10","author":"DC Porumbel","year":"2012","unstructured":"Porumbel DC (2012) Heuristic algorithms and learning techniques: applications to the graph coloring problem. 4OR 10(4):393\u2013394","journal-title":"4OR"},{"key":"5617_CR5","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2019.106040","volume":"137","author":"T Dokeroglu","year":"2019","unstructured":"Dokeroglu T, Sevinc E, Kucukyilmaz T, Cosar A (2019) A survey on new generation metaheuristic algorithms. Comput Ind Eng 137:106040","journal-title":"Comput Ind Eng"},{"key":"5617_CR6","volume-title":"Adaptation in natural and artificial systems","author":"J Holl","year":"1975","unstructured":"Holl J (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor"},{"issue":"4598","key":"5617_CR7","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick S, Gelatt CD Jr, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671\u2013680","journal-title":"Science"},{"key":"5617_CR8","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","volume-title":"Proceedings of ICNN\u201995-International Conference on Neural Networks","author":"J Kennedy","year":"1995","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of ICNN\u201995-International Conference on Neural Networks, vol 4. IEEE, pp 1942\u20131948"},{"key":"5617_CR9","doi-asserted-by":"crossref","unstructured":"Dorigo M, Di Caro G (1999) Ant colony optimization: a new meta-heuristic. In: Proceedings of the 1999 Congress on Evolutionary computation-CEC99 (Cat. No. 99TH8406), vol 2. IEEE, pp 1470\u20131477","DOI":"10.1109\/CEC.1999.782657"},{"issue":"2","key":"5617_CR10","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):60\u201368","journal-title":"Simulation"},{"key":"5617_CR11","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm. J Global Optim 39:459\u2013471","journal-title":"J Global Optim"},{"key":"5617_CR12","doi-asserted-by":"crossref","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":"5617_CR13","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109215","volume":"251","author":"C Zhong","year":"2022","unstructured":"Zhong C, Li G, Meng Z (2022) Beluga whale optimization: a novel nature-inspired metaheuristic algorithm. Knowl-Based Syst 251:109215","journal-title":"Knowl-Based Syst"},{"key":"5617_CR14","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11:341\u2013359","journal-title":"J Global Optim"},{"key":"5617_CR15","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367","journal-title":"Adv Eng Softw"},{"issue":"1","key":"5617_CR16","doi-asserted-by":"crossref","first-page":"1030","DOI":"10.1007\/s10489-022-03533-0","volume":"53","author":"H Mohammed","year":"2023","unstructured":"Mohammed H, Rashid T (2023) Fox: a fox-inspired optimization algorithm. Appl Intell 53(1):1030\u20131050","journal-title":"Appl Intell"},{"key":"5617_CR17","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115352","volume":"183","author":"I Naruei","year":"2021","unstructured":"Naruei I, Keynia F (2021) A new optimization method based on coot bird natural life model. Expert Syst Appl 183:115352","journal-title":"Expert Syst Appl"},{"key":"5617_CR18","first-page":"1","volume":"1","author":"A Seyyedabbasi","year":"2022","unstructured":"Seyyedabbasi A, Kiani F (2022) Sand cat swarm optimization: a nature-inspired algorithm to solve global optimization problems. Eng Comput 1:1\u201325","journal-title":"Eng Comput"},{"issue":"13","key":"5617_CR19","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) Gsa: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248","journal-title":"Inf Sci"},{"key":"5617_CR20","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27:495\u2013513","journal-title":"Neural Comput Appl"},{"key":"5617_CR21","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.advengsoft.2017.03.014","volume":"110","author":"A Kaveh","year":"2017","unstructured":"Kaveh A, Dadras A (2017) A novel meta-heuristic optimization algorithm: thermal exchange optimization. Adv Eng Softw 110:69\u201384","journal-title":"Adv Eng Softw"},{"issue":"3","key":"5617_CR22","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao RV, Savsani VJ, Vakharia D (2011) Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303\u2013315","journal-title":"Comput Aided Des"},{"key":"5617_CR23","doi-asserted-by":"crossref","unstructured":"Hertz A, Taillard E, de Werra D (1997) Tabu search. Local search in combinatorial optimization, pp 121\u2013136","DOI":"10.2307\/j.ctv346t9c.10"},{"issue":"5","key":"5617_CR24","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/0305-0548(86)90048-1","volume":"13","author":"F Glover","year":"1986","unstructured":"Glover F (1986) Future paths for integer programming and links to artificial intelligence. Comput Oper Res 13(5):533\u2013549","journal-title":"Comput Oper Res"},{"key":"5617_CR25","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113338","volume":"149","author":"M Khishe","year":"2020","unstructured":"Khishe M, Mosavi MR (2020) Chimp optimization algorithm. Expert Syst Appl 149:113338","journal-title":"Expert Syst Appl"},{"issue":"3","key":"5617_CR26","doi-asserted-by":"crossref","first-page":"767","DOI":"10.3390\/su12030767","volume":"12","author":"A-Q Tian","year":"2020","unstructured":"Tian A-Q, Chu S-C, Pan J-S, Cui H, Zheng W-M (2020) A compact pigeon-inspired optimization for maximum short-term generation mode in cascade hydroelectric power station. Sustainability 12(3):767","journal-title":"Sustainability"},{"key":"5617_CR27","volume":"251","author":"J-S Pan","year":"2022","unstructured":"Pan J-S, Tian A-Q, Sn\u00e1\u0161el V, Kong L, Chu S-C (2022) Maximum power point tracking and parameter estimation for multiple-photovoltaic arrays based on enhanced pigeon-inspired optimization with taguchi method. Energy 251:123863","journal-title":"Energy"},{"issue":"12","key":"5617_CR28","doi-asserted-by":"crossref","first-page":"8661","DOI":"10.1007\/s10489-021-02302-9","volume":"51","author":"J-S Pan","year":"2021","unstructured":"Pan J-S, Tian A-Q, Chu S-C, Li J-B (2021) Improved binary pigeon-inspired optimization and its application for feature selection. Appl Intell 51(12):8661\u20138679","journal-title":"Appl Intell"},{"key":"5617_CR29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11227-022-04603-3","volume":"1","author":"Y Zhao","year":"2023","unstructured":"Zhao Y, Huang C, Zhang M, Lv C (2023) Colma: a Chaos-based mayfly algorithm with opposition-based learning and levy flight for numerical optimization and engineering design. J Supercomput 1:1\u201347","journal-title":"J Supercomput"},{"key":"5617_CR30","first-page":"1","volume":"1","author":"L Zeng","year":"2023","unstructured":"Zeng L, Li Y, Zhang H, Li M, Wang S (2023) A mixed Harris Hawks optimization algorithm based on the pinhole imaging strategy for solving numerical optimization problems. J Supercomput 1:1\u201354","journal-title":"J Supercomput"},{"issue":"1","key":"5617_CR31","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert DH, Macready WG (1997) No free lunch theorems for optimization. IEEE Trans Evol Comput 1(1):67\u201382","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"5617_CR32","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/itor.12001","volume":"22","author":"K S\u00f6rensen","year":"2015","unstructured":"S\u00f6rensen K (2015) Metaheuristics-the metaphor exposed. Int Trans Oper Res 22(1):3\u201318","journal-title":"Int Trans Oper Res"},{"key":"5617_CR33","volume":"68","author":"T Hu","year":"2021","unstructured":"Hu T, Khishe M, Mohammadi M, Parvizi G-R, Karim SHT, Rashid TA (2021) Real-time covid-19 diagnosis from x-ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm. Biomed Signal Process Control 68:102764","journal-title":"Biomed Signal Process Control"},{"key":"5617_CR34","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2020.103731","volume":"94","author":"EH Houssein","year":"2020","unstructured":"Houssein EH, Saad MR, Hashim FA, Shaban H, Hassaballah M (2020) L\u00e9vy flight distribution: a new metaheuristic algorithm for solving engineering optimization problems. Eng Appl Artif Intell 94:103731","journal-title":"Eng Appl Artif Intell"},{"key":"5617_CR35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.solener.2021.03.087","volume":"222","author":"ME Zayed","year":"2021","unstructured":"Zayed ME, Zhao J, Li W, Elsheikh AH, Abd Elaziz M, Yousri D, Zhong S, Mingxi Z (2021) Predicting the performance of solar dish stirling power plant using a hybrid random vector functional link\/chimp optimization model. Sol Energy 222:1\u201317","journal-title":"Sol Energy"},{"key":"5617_CR36","first-page":"1","volume":"1","author":"H Jia","year":"2021","unstructured":"Jia H, Sun K, Zhang W, Leng X (2021) An enhanced chimp optimization algorithm for continuous optimization domains. Complex Intell Syst 1:1\u201318","journal-title":"Complex Intell Syst"},{"key":"5617_CR37","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107625","volume":"235","author":"W Kaidi","year":"2022","unstructured":"Kaidi W, Khishe M, Mohammadi M (2022) Dynamic levy flight chimp optimization. Knowl-Based Syst 235:107625","journal-title":"Knowl-Based Syst"},{"key":"5617_CR38","volume":"198","author":"S-P Gong","year":"2022","unstructured":"Gong S-P, Khishe M, Mohammadi M (2022) Niching chimp optimization for constraint multimodal engineering optimization problems. Expert Syst Appl 198:116887","journal-title":"Expert Syst Appl"},{"key":"5617_CR39","first-page":"1","volume":"1","author":"M Kaur","year":"2021","unstructured":"Kaur M, Kaur R, Singh N, Dhiman G (2021) Schoa: a newly fusion of sine and cosine with chimp optimization algorithm for hls of datapaths in digital filters and engineering applications. Eng Comput 1:1\u201329","journal-title":"Eng Comput"},{"key":"5617_CR40","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.106926","volume":"222","author":"G Dhiman","year":"2021","unstructured":"Dhiman G (2021) SSC: a hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications. Knowl-Based Syst 222:106926","journal-title":"Knowl-Based Syst"},{"key":"5617_CR41","first-page":"1","volume":"1","author":"MS Uzer","year":"2023","unstructured":"Uzer MS, Inan O (2023) A novel feature selection using binary hybrid improved whale optimization algorithm. J Supercomput 1:1\u201326","journal-title":"J Supercomput"},{"issue":"1","key":"5617_CR42","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1080\/21642583.2019.1708830","volume":"8","author":"J Xue","year":"2020","unstructured":"Xue J, Shen B (2020) A novel swarm intelligence optimization approach: sparrow search algorithm. Syst Sci Control Eng 8(1):22\u201334","journal-title":"Syst Sci Control Eng"},{"key":"5617_CR43","doi-asserted-by":"crossref","first-page":"120798","DOI":"10.1109\/ACCESS.2020.3004430","volume":"8","author":"W Luo","year":"2020","unstructured":"Luo W, Jin H, Li H, Fang X, Zhou R (2020) Optimal performance and application for firework algorithm using a novel chaotic approach. IEEE Access 8:120798\u2013120817","journal-title":"IEEE Access"},{"issue":"1","key":"5617_CR44","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1145\/641876.641879","volume":"29","author":"S Joe","year":"2003","unstructured":"Joe S, Kuo FY (2003) Remark on algorithm 659: implementing Sobol\u2019s quasirandom sequence generator. ACM Trans Math Softw (TOMS) 29(1):49\u201357","journal-title":"ACM Trans Math Softw (TOMS)"},{"issue":"1","key":"5617_CR45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TEVC.2003.816583","volume":"8","author":"C-Y Lee","year":"2004","unstructured":"Lee C-Y, Yao X (2004) Evolutionary programming using mutations based on the l\u00e9vy probability distribution. IEEE Trans Evol Comput 8(1):1\u201313","journal-title":"IEEE Trans Evol Comput"},{"key":"5617_CR46","first-page":"121","volume-title":"International Conference on Principles and Practice of Constraint Programming","author":"CP Gomes","year":"1997","unstructured":"Gomes C.P, Selman B, Crato N (1997) Heavy-tailed distributions in combinatorial search. In: International Conference on Principles and Practice of Constraint Programming. Springer, pp 121\u2013135"},{"key":"5617_CR47","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113917","volume":"166","author":"MH Nadimi-Shahraki","year":"2021","unstructured":"Nadimi-Shahraki MH, Taghian S, Mirjalili S (2021) An improved grey wolf optimizer for solving engineering problems. Expert Syst Appl 166:113917","journal-title":"Expert Syst Appl"},{"issue":"1","key":"5617_CR48","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1287\/moor.6.1.19","volume":"6","author":"FJ Solis","year":"1981","unstructured":"Solis FJ, Wets RJ-B (1981) Minimization by random search techniques. Math Oper Res 6(1):19\u201330","journal-title":"Math Oper Res"},{"key":"5617_CR49","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.eswa.2018.02.026","volume":"102","author":"D Pelusi","year":"2018","unstructured":"Pelusi D, Mascella R, Tallini L, Nayak J, Naik B, Abraham A (2018) Neural network and fuzzy system for the tuning of gravitational search algorithm parameters. Expert Syst Appl 102:234\u2013244","journal-title":"Expert Syst Appl"},{"issue":"20","key":"5617_CR50","doi-asserted-by":"crossref","first-page":"13981","DOI":"10.1007\/s00521-021-06041-3","volume":"33","author":"AM Ahmed","year":"2021","unstructured":"Ahmed AM, Rashid TA, Saeed SAM (2021) Dynamic cat swarm optimization algorithm for backboard wiring problem. Neural Comput Appl 33(20):13981\u201313997","journal-title":"Neural Comput Appl"},{"issue":"7","key":"5617_CR51","doi-asserted-by":"crossref","first-page":"12717","DOI":"10.1111\/exsy.12717","volume":"38","author":"SA Rather","year":"2021","unstructured":"Rather SA, Bala PS (2021) Constriction coefficient based particle swarm optimization and gravitational search algorithm for multilevel image thresholding. Expert Syst 38(7):12717","journal-title":"Expert Syst"},{"key":"5617_CR52","volume":"205","author":"C Ma","year":"2022","unstructured":"Ma C, Huang H, Fan Q, Wei J, Du Y, Gao W (2022) Grey wolf optimizer based on aquila exploration method. Expert Syst Appl 205:117629","journal-title":"Expert Syst Appl"},{"issue":"22","key":"5617_CR53","doi-asserted-by":"crossref","first-page":"14297","DOI":"10.1007\/s00500-021-06140-2","volume":"25","author":"MK Naik","year":"2021","unstructured":"Naik MK, Panda R, Abraham A (2021) Adaptive opposition slime mould algorithm. Soft Comput 25(22):14297\u201314313","journal-title":"Soft Comput"},{"key":"5617_CR54","doi-asserted-by":"crossref","first-page":"158508","DOI":"10.1109\/ACCESS.2021.3130933","volume":"9","author":"M Khishe","year":"2021","unstructured":"Khishe M, Nezhadshahbodaghi M, Mosavi MR, Mart\u00edn D (2021) A weighted chimp optimization algorithm. IEEE Access 9:158508\u2013158539","journal-title":"IEEE Access"},{"key":"5617_CR55","first-page":"1","volume":"1","author":"M Khishe","year":"2022","unstructured":"Khishe M (2022) Greedy opposition-based learning for chimp optimization algorithm. Artif Intell Rev 1:1\u201331","journal-title":"Artif Intell Rev"},{"issue":"6","key":"5617_CR56","doi-asserted-by":"crossref","first-page":"189","DOI":"10.3390\/a15060189","volume":"15","author":"Q Zhang","year":"2022","unstructured":"Zhang Q, Du S, Zhang Y, Wu H, Duan K, Lin Y (2022) A novel chimp optimization algorithm with refraction learning and its engineering applications. Algorithms 15(6):189","journal-title":"Algorithms"},{"key":"5617_CR57","doi-asserted-by":"crossref","unstructured":"Tanabe R, Fukunaga A.S (2014) Improving the search performance of shade using linear population size reduction. In: 2014 IEEE congress on evolutionary computation (CEC). IEEE, pp 1658\u20131665","DOI":"10.1109\/CEC.2014.6900380"},{"key":"5617_CR58","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s40747-018-0086-8","volume":"5","author":"AA Hadi","year":"2019","unstructured":"Hadi AA, Mohamed AW, Jambi KM (2019) LSHADE-SPA memetic framework for solving large-scale optimization problems. Complex Intell Syst 5:25\u201340","journal-title":"Complex Intell Syst"},{"key":"5617_CR59","volume":"215","author":"R Wu","year":"2023","unstructured":"Wu R, Huang H, Wei J, Ma C, Zhu Y, Chen Y, Fan Q (2023) An improved sparrow search algorithm based on quantum computations and multi-strategy enhancement. Expert Syst Appl 215:119421","journal-title":"Expert Syst Appl"},{"key":"5617_CR60","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.105190","volume":"191","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi A, Heidarinejad M, Stephens B, Mirjalili S (2020) Equilibrium optimizer: a novel optimization algorithm. Knowl-Based Syst 191:105190","journal-title":"Knowl-Based Syst"},{"key":"5617_CR61","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2019.106018","volume":"89","author":"VK Kamboj","year":"2020","unstructured":"Kamboj VK, Nandi A, Bhadoria A, Sehgal S (2020) An intensify Harris Hawks optimizer for numerical and engineering optimization problems. Appl Soft Comput 89:106018","journal-title":"Appl Soft Comput"},{"key":"5617_CR62","doi-asserted-by":"crossref","unstructured":"Bernardino HS, Barbosa HJ, Lemonge AC (2007) A hybrid genetic algorithm for constrained optimization problems in mechanical engineering. In: 2007 IEEE congress on evolutionary computation. IEEE, pp 646\u2013653","DOI":"10.1109\/CEC.2007.4424532"},{"issue":"4","key":"5617_CR63","doi-asserted-by":"crossref","first-page":"2463","DOI":"10.1007\/s00366-021-01591-5","volume":"39","author":"CL Kumari","year":"2023","unstructured":"Kumari CL, Kamboj VK, Bath S, Tripathi SL, Khatri M, Sehgal S (2023) A boosted chimp optimizer for numerical and engineering design optimization challenges. Eng Comput 39(4):2463\u20132514","journal-title":"Eng Comput"},{"issue":"2","key":"5617_CR64","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.cnsns.2012.07.017","volume":"18","author":"AH Gandomi","year":"2013","unstructured":"Gandomi AH, Yun GJ, Yang X-S, Talatahari S (2013) Chaos-enhanced accelerated particle swarm optimization. Commun Nonlinear Sci Numer Simul 18(2):327\u2013340","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"5617_CR65","unstructured":"Frank A (2010) UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml"},{"key":"5617_CR66","first-page":"1","volume-title":"2007 Mediterranean Conference on Control & Automation","author":"MA Khanesar","year":"2007","unstructured":"Khanesar MA, Teshnehlab M, Shoorehdeli MA (2007) A novel binary particle swarm optimization. In: 2007 Mediterranean Conference on Control & Automation. IEEE, pp 1\u20136"},{"key":"5617_CR67","doi-asserted-by":"crossref","first-page":"39496","DOI":"10.1109\/ACCESS.2019.2906757","volume":"7","author":"Q Al-Tashi","year":"2019","unstructured":"Al-Tashi Q, Kadir SJA, Rais HM, Mirjalili S, Alhussian H (2019) Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access 7:39496\u201339508","journal-title":"IEEE Access"},{"key":"5617_CR68","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s00521-017-2988-6","volume":"31","author":"GI Sayed","year":"2019","unstructured":"Sayed GI, Hassanien AE, Azar AT (2019) Feature selection via a novel chaotic crow search algorithm. Neural Comput Appl 31:171\u2013188","journal-title":"Neural Comput Appl"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05617-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-023-05617-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05617-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T11:10:03Z","timestamp":1705921803000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-023-05617-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,5]]},"references-count":68,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["5617"],"URL":"https:\/\/doi.org\/10.1007\/s11227-023-05617-1","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,5]]},"assertion":[{"value":"19 August 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 September 2023","order":2,"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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Welcome readers to communicate.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Completed at Hubei University of Technology on June 4, 2023.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"Code is available.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Code availability"}}]}}