{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T08:48:19Z","timestamp":1774514899507,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"21-23","license":[{"start":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T00:00:00Z","timestamp":1624924800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T00:00:00Z","timestamp":1624924800000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s11042-021-11099-1","type":"journal-article","created":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T22:02:26Z","timestamp":1625004146000},"page":"31569-31597","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Augmented grasshopper optimization algorithm by differential evolution: a power scheduling application in smart homes"],"prefix":"10.1007","volume":"80","author":[{"given":"Ahmad","family":"Ziadeh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2203-4549","authenticated-orcid":false,"given":"Laith","family":"Abualigah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed Abd","family":"Elaziz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Canan Batur","family":"\u015eahin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdulwahab Ali","family":"Almazroi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud","family":"Omari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,29]]},"reference":[{"key":"11099_CR1","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1016\/j.eswa.2017.07.043","volume":"90","author":"M Abd Elaziz","year":"2017","unstructured":"Abd Elaziz M, Oliva D, Xiong S (2017) An improved opposition-based sine cosine algorithm for global optimization. Expert Syst Appl 90:484\u2013500","journal-title":"Expert Syst Appl"},{"key":"11099_CR2","doi-asserted-by":"crossref","unstructured":"Abid MMN et al (2018) Demand side management for residential areas using hybrid bacterial foraging and bat optimization algorithm: Demand side management using hybrid bacterial foraging and bat optimization algorithm. In: (2018) International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). IEEE, New York","DOI":"10.1109\/ICOMET.2018.8346369"},{"key":"11099_CR3","doi-asserted-by":"crossref","unstructured":"Abualigah L, Shehab M, Alshinwan M, Mirjalili S, Abd Elaziz M (2021) Ant lion optimizer: a comprehensive survey of its variants and applications. Arch Comput Methods Eng 28(3):1397\u20131416","DOI":"10.1007\/s11831-020-09420-6"},{"key":"11099_CR4","doi-asserted-by":"crossref","unstructured":"Abualigah L (2020) Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications. Neural Comput Appl:1\u201324","DOI":"10.1007\/s00521-020-05107-y"},{"key":"11099_CR5","doi-asserted-by":"publisher","first-page":"107250","DOI":"10.1016\/j.cie.2021.107250","volume":"157","author":"L Abualigah","year":"2021","unstructured":"Abualigah L, Yousri D, Abd Elaziz M, Ewees AA, Al-qaness MA, Gandomi AH (2021) Aquila optimizer: a novel meta-heuristic optimization algorithm. Comput Ind Eng 157:107250","journal-title":"Comput Ind Eng"},{"key":"11099_CR6","doi-asserted-by":"crossref","unstructured":"Abualigah L, Diabat A (2020) A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Clust Comput:1\u201319","DOI":"10.1007\/s10586-020-03075-5"},{"key":"11099_CR7","doi-asserted-by":"crossref","unstructured":"Abualigah L, Diabat A (2020) A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications. Neural Comput Appl:1\u201324","DOI":"10.1007\/s00521-020-04789-8"},{"issue":"11","key":"11099_CR8","doi-asserted-by":"publisher","first-page":"4773","DOI":"10.1007\/s11227-017-2046-2","volume":"73","author":"LM Abualigah","year":"2017","unstructured":"Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773\u20134795","journal-title":"J Supercomput"},{"key":"11099_CR9","doi-asserted-by":"crossref","unstructured":"Abualigah LM, Khader AT, Hanandeh ES (2019) Modified krill herd algorithm for global numerical optimization problems, in Advances in nature-inspired computing and applications. Springer, Berlin, p 205\u2013221","DOI":"10.1007\/978-3-319-96451-5_9"},{"key":"11099_CR10","doi-asserted-by":"publisher","first-page":"113609","DOI":"10.1016\/j.cma.2020.113609","volume":"376","author":"L Abualigah","year":"2021","unstructured":"Abualigah L, Diabat A, Mirjalili S, Abd Elaziz M, Gandomi AH (2021) The arithmetic optimization algorithm. Comput Methods Appl Mech Eng 376:113609","journal-title":"Comput Methods Appl Mech Eng"},{"key":"11099_CR11","doi-asserted-by":"crossref","unstructured":"Ali A et al (2019) (Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks. In: (2019) IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, New York","DOI":"10.1109\/ICPADS47876.2019.00025"},{"key":"11099_CR12","doi-asserted-by":"crossref","unstructured":"Ali A, Zhu Y, Zakarya M (2021) A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimed Tools and Appl:1\u201333","DOI":"10.1007\/s11042-020-10486-4"},{"issue":"12","key":"11099_CR13","doi-asserted-by":"publisher","first-page":"3494","DOI":"10.3390\/en11123494","volume":"11","author":"U Asgher","year":"2018","unstructured":"Asgher U, Babar Rasheed M, Al-Sumaiti AS, Ur-Rahman A, Ali I, Alzaidi A, Alamri A (2018) Smart energy optimization using heuristic algorithm in smart grid with integration of solar energy sources. Energies 11(12):3494","journal-title":"Energies"},{"key":"11099_CR14","volume-title":"Effective scheduling of energy consumption in smart grids","author":"JPC Azevedo","year":"2013","unstructured":"Azevedo JPC (2013) Effective scheduling of energy consumption in smart grids"},{"issue":"4","key":"11099_CR15","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.3390\/su10041245","volume":"10","author":"S Aslam","year":"2018","unstructured":"Aslam S et al (2018) Towards efficient energy management and power trading in a residential area via integrating a grid-connected microgrid. Sustainability 10(4):1245","journal-title":"Sustainability"},{"key":"11099_CR16","doi-asserted-by":"publisher","first-page":"106232","DOI":"10.1016\/j.epsr.2020.106232","volume":"182","author":"S Aslam","year":"2020","unstructured":"Aslam S, Khalid A, Javaid N (2020) Towards efficient energy management in smart grids considering microgrids with day-ahead energy forecasting. Electr Power Syst Res 182:106232","journal-title":"Electr Power Syst Res"},{"key":"11099_CR17","unstructured":"Azevedo JPC (2013) Effective scheduling of energy consumption in smart grids"},{"issue":"3","key":"11099_CR18","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1109\/TEVC.2008.2009457","volume":"13","author":"S Das","year":"2009","unstructured":"Das S et al (2009) Differential evolution using a neighborhood-based mutation operator. IEEE Trans Evol Comput 13(3):526\u2013553","journal-title":"IEEE Trans Evol Comput"},{"issue":"3\u20134","key":"11099_CR19","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1080\/15325008.2013.868558","volume":"42","author":"ME El-Hawary","year":"2014","unstructured":"El-Hawary ME (2014) The smart grid\u2014state-of-the-art and future trends. Electr Power Compon Syst 42(3\u20134):239\u2013250","journal-title":"Electr Power Compon Syst"},{"issue":"3","key":"11099_CR20","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1109\/TSG.2014.2352650","volume":"6","author":"O Erdinc","year":"2014","unstructured":"Erdinc O et al (2014) Smart household operation considering bi-directional EV and ESS utilization by real-time pricing-based DR. IEEE Trans Smart Grid 6(3):1281\u20131291","journal-title":"IEEE Trans Smart Grid"},{"issue":"1","key":"11099_CR21","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1109\/COMST.2016.2610578","volume":"19","author":"Z Fei","year":"2016","unstructured":"Fei Z et al (2016) A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems. IEEE Commun Surv Tutorials 19(1):550\u2013586","journal-title":"IEEE Commun Surv Tutorials"},{"issue":"1","key":"11099_CR22","doi-asserted-by":"publisher","first-page":"1502242","DOI":"10.1080\/23311916.2018.1502242","volume":"5","author":"N Gunantara","year":"2018","unstructured":"Gunantara N (2018) A review of multi-objective optimization: Methods and its applications. Cogent Eng 5(1):1502242","journal-title":"Cogent Eng"},{"key":"11099_CR23","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.neucom.2019.11.089","volume":"382","author":"J Han","year":"2020","unstructured":"Han J et al (2020) Power scheduling optimization under single-valued neutrosophic uncertainty. Neurocomputing 382:12\u201320","journal-title":"Neurocomputing"},{"key":"11099_CR24","doi-asserted-by":"publisher","first-page":"13587","DOI":"10.1109\/ACCESS.2017.2715225","volume":"5","author":"N Javaid","year":"2017","unstructured":"Javaid N et al (2017) An intelligent load management system with renewable energy integration for smart homes. IEEE Access 5:13587\u201313600","journal-title":"IEEE Access"},{"key":"11099_CR25","doi-asserted-by":"publisher","first-page":"24267","DOI":"10.1109\/ACCESS.2017.2763624","volume":"7","author":"S Kazmi","year":"2017","unstructured":"Kazmi S et al (2017) Towards optimization of metaheuristic algorithms for IoT enabled smart homes targeting balanced demand and supply of energy. IEEE Access 7:24267\u201324281","journal-title":"IEEE Access"},{"issue":"12","key":"11099_CR26","doi-asserted-by":"publisher","first-page":"4837","DOI":"10.1007\/s12652-018-01169-y","volume":"10","author":"ZA Khan","year":"2019","unstructured":"Khan ZA et al (2019) Hybrid meta-heuristic optimization based home energy management system in smart grid. J Ambient Intell Humaniz Comput 10(12):4837\u20134853","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"4","key":"11099_CR27","doi-asserted-by":"publisher","first-page":"4735","DOI":"10.1109\/JSYST.2020.2996421","volume":"14","author":"AM Khasawneh","year":"2020","unstructured":"Khasawneh AM et al (2020) Green computing in underwater wireless sensor networks pressure centric energy modeling. IEEE Syst J 14(4):4735\u20134745","journal-title":"IEEE Syst J"},{"key":"11099_CR28","doi-asserted-by":"crossref","unstructured":"Khasawneh AM, Abualigah L, Al M (2020) Shinwan. Void aware routing protocols in underwater wireless sensor networks: Variants and challenges. In: Journal of Physics: Conference Series. IOP Publishing, Bristol","DOI":"10.1088\/1742-6596\/1550\/3\/032145"},{"key":"11099_CR29","doi-asserted-by":"crossref","unstructured":"Krishnan R (2008) Meters of tomorrow [in my view]. IEEE Power Energy Mag 6(2):96\u201394","DOI":"10.1109\/MPE.2007.915179"},{"issue":"1","key":"11099_CR30","first-page":"423","volume":"19","author":"TN Le","year":"2016","unstructured":"Le TN, Chin W-L, Chen H-H (2016) Standardization and security for smart grid communications based on cognitive radio technologies\u2014A comprehensive survey. IEEE Commun Surv Tutorials 19(1):423\u2013445","journal-title":"IEEE Commun Surv Tutorials"},{"issue":"9","key":"11099_CR31","doi-asserted-by":"publisher","first-page":"3643","DOI":"10.1007\/s12652-018-1085-8","volume":"10","author":"SN Makhadmeh","year":"2019","unstructured":"Makhadmeh SN et al (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"},{"key":"11099_CR32","doi-asserted-by":"publisher","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"},{"key":"11099_CR33","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":"11099_CR34","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.neucom.2015.11.015","volume":"177","author":"K Muralitharan","year":"2016","unstructured":"Muralitharan K, Sakthivel R, Shi Y (2016) Multiobjective optimization technique for demand side management with load balancing approach in smart grid. Neurocomputing 177:110\u2013119","journal-title":"Neurocomputing"},{"issue":"2","key":"11099_CR35","doi-asserted-by":"publisher","first-page":"384","DOI":"10.3390\/en11020384","volume":"11","author":"M Naz","year":"2018","unstructured":"Naz M et al (2018) Efficient power scheduling in smart homes using hybrid grey wolf differential evolution optimization technique with real time and critical peak pricing schemes. Energies 11(2):384","journal-title":"Energies"},{"key":"11099_CR36","doi-asserted-by":"publisher","first-page":"115146","DOI":"10.1016\/j.apenergy.2020.115146","volume":"269","author":"H Qiu","year":"2020","unstructured":"Qiu H, You F (2020) Decentralized-distributed robust electric power scheduling for multi-microgrid systems. Appl Energy 269:115146","journal-title":"Appl Energy"},{"issue":"5","key":"11099_CR37","first-page":"2359","volume":"7","author":"SS Reddy","year":"2017","unstructured":"Reddy SS (2017) Optimal reactive power scheduling using cuckoo search algorithm. Int J Electr Comput Eng (2088-8708) 7(5):2359","journal-title":"Int J Electr Comput Eng"},{"issue":"2","key":"11099_CR38","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.1007\/s12652-020-02228-z","volume":"12","author":"M Safaldin","year":"2021","unstructured":"Safaldin M, Otair M, Abualigah L (2021) Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks. J Ambient Intell Humaniz Comput 12(2):1559\u20131576","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"11099_CR39","doi-asserted-by":"crossref","unstructured":"\u015eahin CB, Dinler \u00d6B, Abualigah L (2021) Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features. Appl Intell:1\u201317","DOI":"10.1007\/s10489-021-02324-3"},{"issue":"11","key":"11099_CR40","doi-asserted-by":"publisher","first-page":"3155","DOI":"10.3390\/en11113155","volume":"11","author":"O Samuel","year":"2018","unstructured":"Samuel O et al (2018) An efficient power scheduling in smart homes using Jaya based optimization with time-of-use and critical peak pricing schemes. Energies 11(11):3155","journal-title":"Energies"},{"key":"11099_CR41","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.advengsoft.2017.01.004","volume":"105","author":"S Saremi","year":"2017","unstructured":"Saremi S, Mirjalili S, Lewis A (2017) Grasshopper optimisation algorithm: theory and application. Adv Eng Softw 105:30\u201347","journal-title":"Adv Eng Softw"},{"key":"11099_CR42","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.enbuild.2016.12.026","volume":"138","author":"M Shakeri","year":"2017","unstructured":"Shakeri M et al (2017) An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. Energy Build 138:154\u2013164","journal-title":"Energy Build"},{"issue":"3","key":"11099_CR43","doi-asserted-by":"publisher","first-page":"4411","DOI":"10.1109\/JIOT.2018.2883903","volume":"6","author":"F Shan","year":"2018","unstructured":"Shan F et al (2018) Offloading delay constrained transparent computing tasks with energy-efficient transmission power scheduling in wireless IoT environment. IEEE Internet Things J 6(3):4411\u20134422","journal-title":"IEEE Internet Things J"},{"issue":"6","key":"11099_CR44","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1007\/s12652-013-0176-9","volume":"4","author":"P Siano","year":"2013","unstructured":"Siano P et al (2013) Designing and testing decision support and energy management systems for smart homes. J Ambient Intell Humaniz Comput 4(6):651\u2013661","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"11","key":"11099_CR45","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.3390\/en13112787","volume":"13","author":"A Thaeer Hammid","year":"2020","unstructured":"Thaeer Hammid A et al (2020) A review of optimization algorithms in solving hydro generation scheduling problems. Energies 13(11):2787","journal-title":"Energies"},{"issue":"6","key":"11099_CR46","doi-asserted-by":"publisher","first-page":"4078","DOI":"10.1016\/j.rser.2012.03.014","volume":"16","author":"M Uddin","year":"2012","unstructured":"Uddin M, Rahman AA (2012) Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics. Renew Sustain Energy Rev 16(6):4078\u20134094","journal-title":"Renew Sustain Energy Rev"},{"key":"11099_CR47","doi-asserted-by":"publisher","first-page":"113279","DOI":"10.1016\/j.enconman.2020.113279","volume":"223","author":"D Yousri","year":"2020","unstructured":"Yousri D et al (2020) Reliable applied objective for identifying simple and detailed photovoltaic models using modern metaheuristics: Comparative study. Energy Convers Manag 223:113279","journal-title":"Energy Convers Manag"},{"key":"11099_CR48","doi-asserted-by":"publisher","first-page":"944","DOI":"10.1016\/j.energy.2019.01.025","volume":"171","author":"J Zhu","year":"2019","unstructured":"Zhu J et al (2019) Optimal household appliances scheduling of multiple smart homes using an improved cooperative algorithm. Energy 171:944\u2013955","journal-title":"Energy"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11099-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-11099-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11099-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T01:10:42Z","timestamp":1672621842000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-11099-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,29]]},"references-count":48,"journal-issue":{"issue":"21-23","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["11099"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-11099-1","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,29]]},"assertion":[{"value":"22 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 May 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}