{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:13:39Z","timestamp":1781622819611,"version":"3.54.5"},"reference-count":102,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T00:00:00Z","timestamp":1716681600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T00:00:00Z","timestamp":1716681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s11227-024-06207-5","type":"journal-article","created":{"date-parts":[[2024,5,26]],"date-time":"2024-05-26T10:01:26Z","timestamp":1716717686000},"page":"19274-19323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Hybrid Snake Optimizer Algorithm for Solving Economic Load Dispatch Problem with Valve Point Effect"],"prefix":"10.1007","volume":"80","author":[{"given":"Noor Aldeen","family":"Alawad","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bilal H.","family":"Abed-alguni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Misaa","family":"El-ibini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,26]]},"reference":[{"key":"6207_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/978-3-030-61111-8_2","volume":"927","author":"MO Okwu","year":"2021","unstructured":"Okwu MO, Tartibu LK (2021) Particle swarm optimisation. Stud Comput Intell 927:5\u201313. https:\/\/doi.org\/10.1007\/978-3-030-61111-8_2","journal-title":"Stud Comput Intell"},{"key":"6207_CR2","doi-asserted-by":"crossref","unstructured":"Yang XS, Deb S (2009) \"Cuckoo Search via L\u00e9vy flights,\" 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), Coimbatore, India, pp 210-214.","DOI":"10.1109\/NABIC.2009.5393690"},{"key":"6207_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84882-983-1","author":"MA Bramer","year":"2010","unstructured":"Bramer MA, Ellis R (2010) Programme chairs introduction. Res Dev Intell Syst XXVI Inc Appl Innov Intell Syst XVII. https:\/\/doi.org\/10.1007\/978-1-84882-983-1","journal-title":"Res Dev Intell Syst XXVI Inc Appl Innov Intell Syst XVII"},{"issue":"13","key":"6207_CR4","doi-asserted-by":"publisher","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 (Ny) 179(13):2232\u20132248. https:\/\/doi.org\/10.1016\/j.ins.2009.03.004","journal-title":"Inf Sci (Ny)"},{"key":"6207_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-3-319-93025-1_3","volume":"780","author":"S Mirjalili","year":"2019","unstructured":"Mirjalili S (2019) Ant colony optimisation. Stud Comput Intell 780:33\u201342. https:\/\/doi.org\/10.1007\/978-3-319-93025-1_3","journal-title":"Stud Comput Intell"},{"key":"6207_CR6","doi-asserted-by":"publisher","unstructured":"Grefenstette JJ (1993) \u201cGenetic algorithms and machine learning.\u201d In: Proceedings of the Sixth Annual Conference on Computational Learning Theory, pp. 3\u20134, https:\/\/doi.org\/10.1145\/168304.168305.","DOI":"10.1145\/168304.168305"},{"issue":"3","key":"6207_CR7","doi-asserted-by":"publisher","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 Glob Optim 39(3):459\u2013471. https:\/\/doi.org\/10.1007\/s10898-007-9149-x","journal-title":"J Glob Optim"},{"key":"6207_CR8","doi-asserted-by":"publisher","unstructured":"I. Fister, I. Fister, X. -S. Yang, S. Fong and Y. Zhuang, (2014) \"Bat algorithm: Recent advances,\" 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, pp 163-167. https:\/\/doi.org\/10.1109\/CINTI.2014.7028669.","DOI":"10.1109\/CINTI.2014.7028669"},{"key":"6207_CR9","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. https:\/\/doi.org\/10.1016\/j.advengsoft.2013.12.007","journal-title":"Adv Eng Softw"},{"key":"6207_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-00185-7_1","volume":"191","author":"XS Yang","year":"2009","unstructured":"Yang XS (2009) Harmony search as a metaheuristic algorithm. Stud Comput Intell 191:1\u201314. https:\/\/doi.org\/10.1007\/978-3-642-00185-7_1","journal-title":"Stud Comput Intell"},{"key":"6207_CR11","doi-asserted-by":"publisher","unstructured":"R. Storn (1996) \"On the usage of differential evolution for function optimization,\"  Proceedings of North American Fuzzy Information Processing, Berkeley, CA, USA, pp. 519-523. https:\/\/doi.org\/10.1109\/nafips.1996.534789","DOI":"10.1109\/nafips.1996.534789"},{"key":"6207_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04363-w","author":"MS Braik","year":"2023","unstructured":"Braik MS, Awadallah MA, Al-Betar MA, Hammouri AI, Zitar RA (2023) A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and levy flight methods. Appl Intell. https:\/\/doi.org\/10.1007\/s10489-022-04363-w","journal-title":"Appl Intell"},{"issue":"1","key":"6207_CR13","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s10479-013-1500-7","volume":"218","author":"MA Al-Betar","year":"2014","unstructured":"Al-Betar MA, Khader AT, Doush IA (2014) Memetic techniques for examination timetabling. Ann Oper Res 218(1):23\u201350. https:\/\/doi.org\/10.1007\/s10479-013-1500-7","journal-title":"Ann Oper Res"},{"issue":"9","key":"6207_CR14","doi-asserted-by":"publisher","first-page":"8721","DOI":"10.1007\/s13369-021-05646-z","volume":"46","author":"MS Alkoffash","year":"2021","unstructured":"Alkoffash MS, Awadallah MA, Alweshah M, Zitar RA, Assaleh K, Al-Betar MA (2021) A non-convex economic load dispatch using hybrid salp swarm algorithm. Arab J Sci Eng 46(9):8721\u20138740. https:\/\/doi.org\/10.1007\/s13369-021-05646-z","journal-title":"Arab J Sci Eng"},{"key":"6207_CR15","doi-asserted-by":"publisher","first-page":"108320","DOI":"10.1016\/j.knosys.2022.108320","volume":"242","author":"FA Hashim","year":"2022","unstructured":"Hashim FA, Hussien AG (2022) Snake Optimizer: A novel meta-heuristic optimization algorithm. Knowl-Based Syst 242:108320. https:\/\/doi.org\/10.1016\/j.knosys.2022.108320","journal-title":"Knowl-Based Syst"},{"key":"6207_CR16","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.neucom.2021.01.003","volume":"435","author":"Y Xu","year":"2021","unstructured":"Xu Y et al (2021) An enhanced differential evolution algorithm with a new oppositional-mutual learning strategy. Neurocomputing 435:162\u2013175. https:\/\/doi.org\/10.1016\/j.neucom.2021.01.003","journal-title":"Neurocomputing"},{"issue":"1","key":"6207_CR17","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1142\/S0218213011000097","volume":"20","author":"M Hamdan","year":"2011","unstructured":"Hamdan M (2011) A dynamic polynomial mutation for evolutionary multi-objective optimization algorithms. Int J Artif Intell Tools 20(1):209\u2013219. https:\/\/doi.org\/10.1142\/S0218213011000097","journal-title":"Int J Artif Intell Tools"},{"issue":"8","key":"6207_CR18","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1016\/j.ijepes.2010.01.023","volume":"32","author":"N Amjady","year":"2010","unstructured":"Amjady N, Sharifzadeh H (2010) Solution of non-convex economic dispatch problem considering valve loading effect by a new modified differential evolution algorithm. Int J Electr Power Energy Syst 32(8):893\u2013903. https:\/\/doi.org\/10.1016\/j.ijepes.2010.01.023","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"6207_CR19","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/TEVC.2002.806788","volume":"7","author":"N Sinha","year":"2003","unstructured":"Sinha N, Chakrabarti R, Chattopadhyay PK (2003) Brief Papers. IEEE Trans Evol Computat 7(1):83\u201394","journal-title":"IEEE Trans Evol Computat"},{"issue":"3","key":"6207_CR20","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1109\/59.260861","volume":"8","author":"DC Walters","year":"1993","unstructured":"Walters DC, Sheble GB (1993) Genetic algorithm solution of economic dispatch with valve point loading. IEEE Trans Power Syst 8(3):1325\u20131332. https:\/\/doi.org\/10.1109\/59.260861","journal-title":"IEEE Trans Power Syst"},{"issue":"8","key":"6207_CR21","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.3390\/math10081323","volume":"10","author":"M Rawa","year":"2022","unstructured":"Rawa M (2022) Towards avoiding cascading failures in transmission expansion planning of modern active power systems using hybrid snake-sine cosine optimization algorithm. Mathematics 10(8):1323. https:\/\/doi.org\/10.3390\/math10081323","journal-title":"Mathematics"},{"issue":"1","key":"6207_CR22","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.epsr.2008.05.001","volume":"79","author":"AI Selvakumar","year":"2009","unstructured":"Selvakumar AI, Thanushkodi K (2009) Optimization using civilized swarm: Solution to economic dispatch with multiple minima. Electr Power Syst Res 79(1):8\u201316. https:\/\/doi.org\/10.1016\/j.epsr.2008.05.001","journal-title":"Electr Power Syst Res"},{"issue":"7","key":"6207_CR23","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1080\/15325000903489710","volume":"38","author":"S Hemamalini","year":"2010","unstructured":"Hemamalini S, Simon SP (2010) Artificial bee colony algorithm for economic load dispatch problem with non-smooth cost functions. Electr Power Compon Syst 38(7):786\u2013803. https:\/\/doi.org\/10.1080\/15325000903489710","journal-title":"Electr Power Compon Syst"},{"issue":"5","key":"6207_CR24","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1016\/j.ijepes.2009.09.016","volume":"32","author":"S Pothiya","year":"2010","unstructured":"Pothiya S, Ngamroo I, Kongprawechnon W (2010) Ant colony optimisation for economic dispatch problem with non-smooth cost functions. Int J Electr Power Energy Syst 32(5):478\u2013487. https:\/\/doi.org\/10.1016\/j.ijepes.2009.09.016","journal-title":"Int J Electr Power Energy Syst"},{"key":"6207_CR25","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.energy.2013.07.011","volume":"60","author":"M Basu","year":"2013","unstructured":"Basu M, Chowdhury A (2013) Cuckoo search algorithm for economic dispatch. Energy 60:99\u2013108. https:\/\/doi.org\/10.1016\/j.energy.2013.07.011","journal-title":"Energy"},{"key":"6207_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ijepes.2013.11.016","volume":"57","author":"B Mandal","year":"2014","unstructured":"Mandal B, Roy PK, Mandal S (2014) Economic load dispatch using krill herd algorithm. Int J Electr Power Energy Syst 57:1\u201310. https:\/\/doi.org\/10.1016\/j.ijepes.2013.11.016","journal-title":"Int J Electr Power Energy Syst"},{"issue":"5","key":"6207_CR27","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1007\/s00521-015-1934-8","volume":"27","author":"VK Kamboj","year":"2016","unstructured":"Kamboj VK, Bath SK, Dhillon JS (2016) Solution of non-convex economic load dispatch problem using grey wolf optimizer. Neural Comput Appl 27(5):1301\u20131316. https:\/\/doi.org\/10.1007\/s00521-015-1934-8","journal-title":"Neural Comput Appl"},{"key":"6207_CR28","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1016\/j.neucom.2015.07.037","volume":"171","author":"JJQ Yu","year":"2016","unstructured":"Yu JJQ, Li VOK (2016) A social spider algorithm for solving the non-convex economic load dispatch problem. Neurocomputing 171:955\u2013965. https:\/\/doi.org\/10.1016\/j.neucom.2015.07.037","journal-title":"Neurocomputing"},{"key":"6207_CR29","doi-asserted-by":"publisher","first-page":"15105","DOI":"10.1109\/ACCESS.2017.2723862","volume":"3536","author":"G Abbas","year":"2017","unstructured":"Abbas G et al (2017) Solution of an economic dispatch problem through particle swarm optimization\u202f: a detailed survey-part I. IEEE Access 3536:15105. https:\/\/doi.org\/10.1109\/ACCESS.2017.2723862","journal-title":"IEEE Access"},{"key":"6207_CR30","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1016\/j.renene.2017.02.021","volume":"107","author":"C Shilaja","year":"2017","unstructured":"Shilaja C, Ravi K (2017) Optimization of emission\/economic dispatch using euclidean affine flower pollination algorithm (eFPA) and binary FPA (BFPA) in solar photo voltaic generation. Renew Energy 107:550\u2013566. https:\/\/doi.org\/10.1016\/j.renene.2017.02.021","journal-title":"Renew Energy"},{"key":"6207_CR31","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/978-981-10-7901-6_31","volume-title":"Advances in Communication, Devices and Networking","author":"P Tripati","year":"2018","unstructured":"Tripati P, Tomar U, Singh VK, Bhoi AK (2018) Solution of economic load dispatch problems through moth flame optimization algorithm. In: Bera R, Sarkar SK, Chakraborty S (eds) Advances in Communication, Devices and Networking. Springer, Singapore, pp 287\u2013294. https:\/\/doi.org\/10.1007\/978-981-10-7901-6_31"},{"key":"6207_CR32","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.asoc.2018.06.040","volume":"71","author":"F Mohammadi","year":"2018","unstructured":"Mohammadi F, Abdi H (2018) A modified crow search algorithm (MCSA) for solving economic load dispatch problem. Appl Soft Comput J 71:51\u201365. https:\/\/doi.org\/10.1016\/j.asoc.2018.06.040","journal-title":"Appl Soft Comput J"},{"key":"6207_CR33","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.asoc.2018.06.035","volume":"71","author":"M Kumar","year":"2018","unstructured":"Kumar M, Dhillon JS (2018) Hybrid artificial algae algorithm for economic load dispatch. Appl Soft Comput J 71:89\u2013109. https:\/\/doi.org\/10.1016\/j.asoc.2018.06.035","journal-title":"Appl Soft Comput J"},{"issue":"7","key":"6207_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-016-9088-2","volume":"60","author":"B Zhu","year":"2017","unstructured":"Zhu B, Xie L, Han D, Meng X, Teo R (2017) A survey on recent progress in control of swarm systems. Sci China Inf Sci 60(7):1\u201324. https:\/\/doi.org\/10.1007\/s11432-016-9088-2","journal-title":"Sci China Inf Sci"},{"issue":"1","key":"6207_CR35","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.ijepes.2012.08.049","volume":"45","author":"AK Barisal","year":"2013","unstructured":"Barisal AK (2013) Dynamic search space squeezing strategy based intelligent algorithm solutions to economic dispatch with multiple fuels. Int J Electr Power Energy Syst 45(1):50\u201359. https:\/\/doi.org\/10.1016\/j.ijepes.2012.08.049","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"6207_CR36","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.ijepes.2013.01.002","volume":"49","author":"V Hosseinnezhad","year":"2013","unstructured":"Hosseinnezhad V, Babaei E (2013) Economic load dispatch using \u03b8-PSO. Int J Electr Power Energy Syst 49(1):160\u2013169. https:\/\/doi.org\/10.1016\/j.ijepes.2013.01.002","journal-title":"Int J Electr Power Energy Syst"},{"issue":"2","key":"6207_CR37","doi-asserted-by":"publisher","first-page":"1800","DOI":"10.1016\/j.eswa.2009.07.042","volume":"37","author":"Z Zhisheng","year":"2010","unstructured":"Zhisheng Z (2010) Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system. Expert Syst Appl 37(2):1800\u20131803. https:\/\/doi.org\/10.1016\/j.eswa.2009.07.042","journal-title":"Expert Syst Appl"},{"issue":"5","key":"6207_CR38","doi-asserted-by":"publisher","first-page":"1773","DOI":"10.1016\/j.apenergy.2009.10.007","volume":"87","author":"JS Alsumait","year":"2010","unstructured":"Alsumait JS, Sykulski JK, Al-Othman AK (2010) A hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problems. Appl Energy 87(5):1773\u20131781. https:\/\/doi.org\/10.1016\/j.apenergy.2009.10.007","journal-title":"Appl Energy"},{"issue":"4","key":"6207_CR39","doi-asserted-by":"publisher","first-page":"1955","DOI":"10.1109\/TPWRS.2010.2043270","volume":"25","author":"A Bhattacharya","year":"2010","unstructured":"Bhattacharya A, Chattopadhyay PK (2010) Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch. IEEE Trans Power Syst 25(4):1955\u20131964. https:\/\/doi.org\/10.1109\/TPWRS.2010.2043270","journal-title":"IEEE Trans Power Syst"},{"key":"6207_CR40","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.ijepes.2013.06.020","volume":"54","author":"D Aydin","year":"2014","unstructured":"Aydin D, \u00d6zy\u00f6n S, Ya\u015far C, Liao T (2014) Artificial bee colony algorithm with dynamic population size to combined economic and emission dispatch problem. Int J Electr Power Energy Syst 54:144\u2013153. https:\/\/doi.org\/10.1016\/j.ijepes.2013.06.020","journal-title":"Int J Electr Power Energy Syst"},{"key":"6207_CR41","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1016\/j.ijepes.2013.10.006","volume":"55","author":"S Jiang","year":"2014","unstructured":"Jiang S, Ji Z, Shen Y (2014) A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints. Int J Electr Power Energy Syst 55:628\u2013644. https:\/\/doi.org\/10.1016\/j.ijepes.2013.10.006","journal-title":"Int J Electr Power Energy Syst"},{"issue":"6","key":"6207_CR42","first-page":"37","volume":"4","author":"N Chopra","year":"2016","unstructured":"Chopra N, Kumar G, Mehta S (2016) Hybrid GWO-PSO algorithm for solving convex economic load dispatch problem. Int J Res Adv Technol 4(6):37\u201341","journal-title":"Int J Res Adv Technol"},{"issue":"10","key":"6207_CR43","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1007\/s00521-016-2611-2","volume":"29","author":"MA Al-Betar","year":"2018","unstructured":"Al-Betar MA, Awadallah MA, Khader AT, Bolaji AL, Almomani A (2018) Economic load dispatch problems with valve-point loading using natural updated harmony search. Neural Comput Appl 29(10):767\u2013781. https:\/\/doi.org\/10.1007\/s00521-016-2611-2","journal-title":"Neural Comput Appl"},{"issue":"12","key":"6207_CR44","doi-asserted-by":"publisher","first-page":"7439","DOI":"10.1007\/s13369-018-3098-1","volume":"43","author":"MA Al-Betar","year":"2018","unstructured":"Al-Betar MA, Awadallah MA, Abu Doush I, Alsukhni E, ALkhraisat H (2018) A Non-convex economic dispatch problem with valve loading effect using a new modified \u03b2-hill climbing local search algorithm. Arab J Sci Eng 43(12):7439\u20137456. https:\/\/doi.org\/10.1007\/s13369-018-3098-1","journal-title":"Arab J Sci Eng"},{"issue":"9","key":"6207_CR45","doi-asserted-by":"publisher","first-page":"2779","DOI":"10.1007\/s10489-020-01654-y","volume":"50","author":"Z Huang","year":"2020","unstructured":"Huang Z, Zhao J, Qi L, Gao Z, Duan H (2020) Comprehensive learning cuckoo search with chaos-lambda method for solving economic dispatch problems. Appl Intell 50(9):2779\u20132799. https:\/\/doi.org\/10.1007\/s10489-020-01654-y","journal-title":"Appl Intell"},{"issue":"8","key":"6207_CR46","doi-asserted-by":"publisher","first-page":"8561","DOI":"10.1007\/s12652-020-02589-5","volume":"12","author":"A Haghrah","year":"2021","unstructured":"Haghrah A, Nekoui MA, Nazari-Heris M, Mohammadi-ivatloo B (2021) An improved real-coded genetic algorithm with random walk based mutation for solving combined heat and power economic dispatch. J Ambient Intell Humaniz Comput 12(8):8561\u20138584. https:\/\/doi.org\/10.1007\/s12652-020-02589-5","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"6207_CR47","doi-asserted-by":"publisher","first-page":"82169","DOI":"10.1109\/ACCESS.2021.3085819","volume":"9","author":"M Ellahi","year":"2021","unstructured":"Ellahi M, Abbas G, Satrya GB, Rehan Usman M, Jason Gu (2021) A modified hybrid particle swarm optimization with bat algorithm parameter inspired acceleration coefficients for solving eco-friendly and economic dispatch problems. IEEE Access 9:82169\u201382187. https:\/\/doi.org\/10.1109\/ACCESS.2021.3085819","journal-title":"IEEE Access"},{"issue":"4","key":"6207_CR48","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.1007\/s42835-021-00758-w","volume":"16","author":"MA Al-Betar","year":"2021","unstructured":"Al-Betar MA (2021) Island-based harmony search algorithm for non-convex economic load dispatch problems. J Electr Eng Technol 16(4):1985","journal-title":"J Electr Eng Technol"},{"issue":"9","key":"6207_CR49","doi-asserted-by":"publisher","first-page":"11685","DOI":"10.1007\/s12652-022-03731-1","volume":"14","author":"MA Al-Betar","year":"2022","unstructured":"Al-Betar MA, Awadallah MA, Zitar RA, Assaleh K (2022) Economic load dispatch using memetic sine cosine algorithm. J Ambient Intell Humaniz Comput 14(9):11685\u201311713. https:\/\/doi.org\/10.1007\/s12652-022-03731-1","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"6207_CR50","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.aej.2022.09.010","volume":"64","author":"MA Al-Betar","year":"2023","unstructured":"Al-Betar MA et al (2023) A hybrid Harris Hawks optimizer for economic load dispatch problems. Alexandria Eng J 64:365\u2013389. https:\/\/doi.org\/10.1016\/j.aej.2022.09.010","journal-title":"Alexandria Eng J"},{"key":"6207_CR51","doi-asserted-by":"publisher","unstructured":"H. R. Tizhoosh, (2005) \"Opposition-Based Learning: A New Scheme for Machine Intelligence,\" In: International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), Vienna, Austria, pp. 695-701 https:\/\/doi.org\/10.1109\/cimca.2005.1631345.","DOI":"10.1109\/cimca.2005.1631345"},{"issue":"2","key":"6207_CR52","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1016\/j.asoc.2007.07.010","volume":"8","author":"S Rahnamayan","year":"2008","unstructured":"Rahnamayan S, Tizhoosh HR, Salama MMA (2008) Opposition versus randomness in soft computing techniques. Appl Soft Comput J 8(2):906\u2013918. https:\/\/doi.org\/10.1016\/j.asoc.2007.07.010","journal-title":"Appl Soft Comput J"},{"issue":"3","key":"6207_CR53","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1016\/j.jesit.2016.12.008","volume":"5","author":"S Verma","year":"2018","unstructured":"Verma S, Saha S, Mukherjee V (2018) Optimal rescheduling of real power generation for congestion management using teaching-learning-based optimization algorithm. J Electr Syst Inf Technol 5(3):889\u2013907. https:\/\/doi.org\/10.1016\/j.jesit.2016.12.008","journal-title":"J Electr Syst Inf Technol"},{"issue":"1","key":"6207_CR54","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.ijepes.2011.08.012","volume":"35","author":"B Shaw","year":"2012","unstructured":"Shaw B, Mukherjee V, Ghoshal SP (2012) A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems. Int J Electr Power Energy Syst 35(1):21\u201333. https:\/\/doi.org\/10.1016\/j.ijepes.2011.08.012","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"6207_CR55","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1504\/IJPEC.2014.059983","volume":"5","author":"PK Roy","year":"2014","unstructured":"Roy PK, Mandal D (2014) Oppositional biogeography-based optimisation for optimal power flow. Int J Power Energy Convers 5(1):47\u201369. https:\/\/doi.org\/10.1504\/IJPEC.2014.059983","journal-title":"Int J Power Energy Convers"},{"issue":"5","key":"6207_CR56","first-page":"783","volume":"29","author":"M Hamdan","year":"2010","unstructured":"Hamdan M (2010) On the disruption-level of polynomial mutation for evolutionary multi-objective optimisation algorithms. Comput Informatics 29(5):783\u2013800","journal-title":"Comput Informatics"},{"issue":"1","key":"6207_CR57","first-page":"57","volume":"17","author":"BH Abed-alguni","year":"2019","unstructured":"Abed-alguni BH (2019) Island-based cuckoo search with highly disruptive polynomial mutation. Int J Artif Intell 17(1):57\u201382","journal-title":"Int J Artif Intell"},{"issue":"4","key":"6207_CR58","doi-asserted-by":"publisher","first-page":"3213","DOI":"10.1007\/s13369-020-05141-x","volume":"46","author":"NA Alawad","year":"2021","unstructured":"Alawad NA, Abed-alguni BH (2021) Discrete island-based cuckoo search with highly disruptive polynomial mutation and opposition-based learning strategy for scheduling of workflow applications in cloud environments. Arab J Sci Eng 46(4):3213\u20133233. https:\/\/doi.org\/10.1007\/s13369-020-05141-x","journal-title":"Arab J Sci Eng"},{"key":"6207_CR59","doi-asserted-by":"publisher","first-page":"107113","DOI":"10.1016\/j.asoc.2021.107113","volume":"102","author":"BH Abed-alguni","year":"2021","unstructured":"Abed-alguni BH, Alawad NA (2021) Distributed grey wolf optimizer for scheduling of workflow applications in cloud environments. Appl Soft Comput 102:107113. https:\/\/doi.org\/10.1016\/j.asoc.2021.107113","journal-title":"Appl Soft Comput"},{"key":"6207_CR60","doi-asserted-by":"publisher","DOI":"10.5455\/jjcit.71-1532897697","author":"BH Abed-alguni","year":"2018","unstructured":"Abed-alguni BH, Barhoush M (2018) Distributed grey wolf optimizer for numerical optimization problems. Jordan J Comput Inf Technol. https:\/\/doi.org\/10.5455\/jjcit.71-1532897697","journal-title":"Jordan J Comput Inf Technol"},{"issue":"1","key":"6207_CR61","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1515\/jisys-2018-0331","volume":"29","author":"BH Abed-Alguni","year":"2020","unstructured":"Abed-Alguni BH, Paul DJ (2020) Hybridizing the cuckoo search algorithm with different mutation operators for numerical optimization problems. J Intell Syst 29(1):1043\u20131062. https:\/\/doi.org\/10.1515\/jisys-2018-0331","journal-title":"J Intell Syst"},{"issue":"6","key":"6207_CR62","doi-asserted-by":"publisher","first-page":"151","DOI":"10.25046\/aj020619","volume":"2","author":"M Saka","year":"2017","unstructured":"Saka M, Eke I, Tezcan SS, Taplamacioglu MC (2017) Analysis of economic load dispatch with a lot of constraints using vortex search algorithm. Adv Sci Technol Eng Syst 2(6):151\u2013156. https:\/\/doi.org\/10.25046\/aj020619","journal-title":"Adv Sci Technol Eng Syst"},{"key":"6207_CR63","doi-asserted-by":"publisher","first-page":"12127","DOI":"10.1007\/s00521-019-04284-9","volume":"32","author":"MA Al-Betar","year":"2020","unstructured":"Al-Betar MA, Awadallah MA, Krishan MM (2020) A non-convex economic load dispatch problem with valve loading effect using a hybrid grey wolf optimizer. Neural Comput Applic 32:12127\u201312154. https:\/\/doi.org\/10.1007\/s00521-019-04284-9","journal-title":"Neural Comput Applic"},{"issue":"1","key":"6207_CR64","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.enconman.2011.08.023","volume":"53","author":"J Cai","year":"2012","unstructured":"Cai J, Li Q, Li L, Peng H, Yang Y (2012) A hybrid CPSO-SQP method for economic dispatch considering the valve-point effects. Energy Convers Manag 53(1):175\u2013181. https:\/\/doi.org\/10.1016\/j.enconman.2011.08.023","journal-title":"Energy Convers Manag"},{"issue":"4","key":"6207_CR65","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.1016\/j.ijepes.2011.01.026","volume":"33","author":"MT Tsai","year":"2011","unstructured":"Tsai MT, Gow HJ, Lin WM (2011) A novel stochastic search method for the solution of economic dispatch problems with non-convex fuel cost functions. Int J Electr Power Energy Syst 33(4):1070\u20131076. https:\/\/doi.org\/10.1016\/j.ijepes.2011.01.026","journal-title":"Int J Electr Power Energy Syst"},{"key":"6207_CR66","doi-asserted-by":"publisher","unstructured":"H. R. Tizhoosh, \"Opposition-Based Learning: A New Scheme for Machine Intelligence,\" International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), Vienna, Austria, 2005, pp. 695-701, https:\/\/doi.org\/10.1109\/CIMCA.2005.1631345","DOI":"10.1109\/CIMCA.2005.1631345"},{"issue":"3","key":"6207_CR67","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao RV, Savsani VJ, Vakharia DP (2011) Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. CAD Comput Aided Des 43(3):303\u2013315. https:\/\/doi.org\/10.1016\/j.cad.2010.12.015","journal-title":"CAD Comput Aided Des"},{"key":"6207_CR68","first-page":"1","volume":"9","author":"K Deb","year":"1994","unstructured":"Deb K, Agrawal RB (1994) Simulated binary crossover for continuous search space. Complex Syst 9:1\u201334","journal-title":"Complex Syst"},{"issue":"3","key":"6207_CR69","doi-asserted-by":"publisher","first-page":"1062","DOI":"10.1016\/j.ejor.2006.06.042","volume":"185","author":"K Deb","year":"2008","unstructured":"Deb K, Tiwari S (2008) Omni-optimizer: a generic evolutionary algorithm for single and multi-objective optimization. Eur J Oper Res 185(3):1062\u20131087. https:\/\/doi.org\/10.1016\/j.ejor.2006.06.042","journal-title":"Eur J Oper Res"},{"issue":"3","key":"6207_CR70","doi-asserted-by":"publisher","first-page":"490","DOI":"10.4304\/jsw.6.3.490-497","volume":"6","author":"F Kang","year":"2011","unstructured":"Kang F, Li J, Ma Z, Li H (2011) Artificial bee colony algorithm with local search for numerical optimization. J Softw 6(3):490\u2013497. https:\/\/doi.org\/10.4304\/jsw.6.3.490-497","journal-title":"J Softw"},{"key":"6207_CR71","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.energy.2018.11.034","volume":"169","author":"D Singh","year":"2019","unstructured":"Singh D, Dhillon JS (2019) Ameliorated grey wolf optimization for economic load dispatch problem. Energy 169:398\u2013419. https:\/\/doi.org\/10.1016\/j.energy.2018.11.034","journal-title":"Energy"},{"issue":"1","key":"6207_CR72","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.asoc.2009.10.019","volume":"11","author":"P Subbaraj","year":"2011","unstructured":"Subbaraj P, Rengaraj R, Salivahanan S (2011) Enhancement of self-adaptive real-coded genetic algorithm using taguchi method for economic dispatch problem. Appl Soft Comput J 11(1):83\u201392. https:\/\/doi.org\/10.1016\/j.asoc.2009.10.019","journal-title":"Appl Soft Comput J"},{"issue":"2","key":"6207_CR73","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1109\/TPWRS.2009.2034525","volume":"25","author":"A Bhattacharya","year":"2010","unstructured":"Bhattacharya A, Chattopadhyay PK (2010) Biogeography-based optimization for different economic load dispatch problems. IEEE Trans Power Syst 25(2):1064\u20131077. https:\/\/doi.org\/10.1109\/TPWRS.2009.2034525","journal-title":"IEEE Trans Power Syst"},{"issue":"3","key":"6207_CR74","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1109\/JSYST.2013.2297471","volume":"9","author":"MSP Subathra","year":"2015","unstructured":"Subathra MSP, Easter Selvan S, Albert Victoire TA, Hepzibah Christinal A, Amato U (2015) A hybrid with cross-entropy method and sequential quadratic programming to solve economic load dispatch problem. IEEE Syst J 9(3):1031\u20131044. https:\/\/doi.org\/10.1109\/JSYST.2013.2297471","journal-title":"IEEE Syst J"},{"issue":"1","key":"6207_CR75","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1016\/j.ijepes.2012.08.021","volume":"44","author":"L Wang","year":"2013","unstructured":"Wang L, Li LP (2013) An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems. Int J Electr Power Energy Syst 44(1):832\u2013843. https:\/\/doi.org\/10.1016\/j.ijepes.2012.08.021","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"6207_CR76","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.ijepes.2011.09.020","volume":"34","author":"J Cai","year":"2012","unstructured":"Cai J, Li Q, Li L, Peng H, Yang Y (2012) A fuzzy adaptive chaotic ant swarm optimization for economic dispatch. Int J Electr Power Energy Syst 34(1):154\u2013160. https:\/\/doi.org\/10.1016\/j.ijepes.2011.09.020","journal-title":"Int J Electr Power Energy Syst"},{"key":"6207_CR77","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.energy.2016.05.105","volume":"111","author":"T Jayabarathi","year":"2016","unstructured":"Jayabarathi T, Raghunathan T, Adarsh BR, Suganthan PN (2016) Economic dispatch using hybrid grey wolf optimizer. Energy 111:630\u2013641. https:\/\/doi.org\/10.1016\/j.energy.2016.05.105","journal-title":"Energy"},{"key":"6207_CR78","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.ijepes.2014.04.031","volume":"62","author":"Q Niu","year":"2014","unstructured":"Niu Q, Zhang H, Wang X, Li K, Irwin GW (2014) A hybrid harmony search with arithmetic crossover operation for economic dispatch. Int J Electr Power Energy Syst 62:237\u2013257. https:\/\/doi.org\/10.1016\/j.ijepes.2014.04.031","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"6207_CR79","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.ijepes.2010.06.021","volume":"33","author":"R Kumar","year":"2011","unstructured":"Kumar R, Sharma D, Sadu A (2011) A hybrid multi-agent based particle swarm optimization algorithm for economic power dispatch. Int J Electr Power Energy Syst 33(1):115\u2013123. https:\/\/doi.org\/10.1016\/j.ijepes.2010.06.021","journal-title":"Int J Electr Power Energy Syst"},{"issue":"6","key":"6207_CR80","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.35833\/MPCE.2019.000098","volume":"9","author":"AB Waqas","year":"2021","unstructured":"Waqas AB, Saifullah Y, Ashraf MM (2021) A Hybrid quantum inspired particle swarm optimization and least square framework for real-time harmonic estimation. J Mod Power Syst Clean Energy 9(6):1548\u20131556. https:\/\/doi.org\/10.35833\/MPCE.2019.000098","journal-title":"J Mod Power Syst Clean Energy"},{"issue":"10","key":"6207_CR81","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.1016\/j.enconman.2009.05.034","volume":"50","author":"L Dos","year":"2009","unstructured":"Dos L, Coelho S, Mariani VC (2009) An improved harmony search algorithm for power economic load dispatch. Energy Convers Manag 50(10):2522\u20132526. https:\/\/doi.org\/10.1016\/j.enconman.2009.05.034","journal-title":"Energy Convers Manag"},{"key":"6207_CR82","doi-asserted-by":"publisher","unstructured":"Kumar A, Singhi R, Das S, Malakar T, Prakash O, Das P (2020) \"Economic Load Dispatch Using Salp Swarm Algorithm,\" In: 2020 IEEE 9th Power India International Conference (PIICON), Sonepat, India, pp 1-6, https:\/\/doi.org\/10.1109\/PIICON49524.2020.9112882.","DOI":"10.1109\/PIICON49524.2020.9112882"},{"key":"6207_CR83","doi-asserted-by":"publisher","first-page":"95585","DOI":"10.1109\/ACCESS.2019.2927574","volume":"7","author":"X Li","year":"2019","unstructured":"Li X, Zhang H, Lu Z (2019) A differential evolution algorithm based on multi-population for economic dispatch problems with valve-point effects. IEEE Access 7:95585\u201395609. https:\/\/doi.org\/10.1109\/ACCESS.2019.2927574","journal-title":"IEEE Access"},{"issue":"1","key":"6207_CR84","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1016\/j.ijepes.2012.04.060","volume":"42","author":"B Mohammadi-Ivatloo","year":"2012","unstructured":"Mohammadi-Ivatloo B, Rabiee A, Soroudi A, Ehsan M (2012) Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems. Int J Electr Power Energy Syst 42(1):508\u2013516. https:\/\/doi.org\/10.1016\/j.ijepes.2012.04.060","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"6207_CR85","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.enconman.2010.07.022","volume":"52","author":"WM Lin","year":"2011","unstructured":"Lin WM, Gow HJ, Tsai MT (2011) Combining of direct search and signal-to-noise ratio for economic dispatch optimization. Energy Convers Manag 52(1):487\u2013493. https:\/\/doi.org\/10.1016\/j.enconman.2010.07.022","journal-title":"Energy Convers Manag"},{"issue":"15","key":"6207_CR86","doi-asserted-by":"publisher","first-page":"6455","DOI":"10.1007\/s00500-018-3299-2","volume":"23","author":"MA Awadallah","year":"2019","unstructured":"Awadallah MA, Al-Betar MA, Bolaji AL, Alsukhni EM, Al-Zoubi H (2019) Natural selection methods for artificial bee colony with new versions of onlooker bee. Soft Comput 23(15):6455\u20136494. https:\/\/doi.org\/10.1007\/s00500-018-3299-2","journal-title":"Soft Comput"},{"issue":"1","key":"6207_CR87","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.asoc.2008.04.009","volume":"9","author":"S Kumar","year":"2009","unstructured":"Kumar S, Naresh R (2009) Nonconvex economic load dispatch using an efficient real-coded genetic algorithm. Appl Soft Comput J 9(1):321\u2013329. https:\/\/doi.org\/10.1016\/j.asoc.2008.04.009","journal-title":"Appl Soft Comput J"},{"issue":"1","key":"6207_CR88","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.ijepes.2012.10.012","volume":"46","author":"A Srinivasa Reddy","year":"2013","unstructured":"Srinivasa Reddy A, Vaisakh K (2013) Shuffled differential evolution for economic dispatch with valve point loading effects. Int J Electr Power Energy Syst 46(1):342\u2013352. https:\/\/doi.org\/10.1016\/j.ijepes.2012.10.012","journal-title":"Int J Electr Power Energy Syst"},{"issue":"12","key":"6207_CR89","doi-asserted-by":"publisher","first-page":"2580","DOI":"10.1016\/j.enconman.2010.05.022","volume":"51","author":"LDS Coelho","year":"2010","unstructured":"Coelho LDS, Mariani VC (2010) An efficient cultural self-organizing migrating strategy for economic dispatch optimization with valve-point effect. Energy Convers Manag 51(12):2580\u20132587. https:\/\/doi.org\/10.1016\/j.enconman.2010.05.022","journal-title":"Energy Convers Manag"},{"key":"6207_CR90","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1016\/j.asoc.2016.05.034","volume":"47","author":"MA Al-Betar","year":"2016","unstructured":"Al-Betar MA, Awadallah MA, Khader AT, Bolaji ALA (2016) Tournament-based harmony search algorithm for non-convex economic load dispatch problem. Appl Soft Comput J 47:449\u2013459. https:\/\/doi.org\/10.1016\/j.asoc.2016.05.034","journal-title":"Appl Soft Comput J"},{"issue":"4","key":"6207_CR91","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.enconman.2007.08.012","volume":"49","author":"S Pothiya","year":"2008","unstructured":"Pothiya S, Ngamroo I, Kongprawechnon W (2008) Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints. Energy Convers Manag 49(4):506\u2013516. https:\/\/doi.org\/10.1016\/j.enconman.2007.08.012","journal-title":"Energy Convers Manag"},{"issue":"15","key":"6207_CR92","doi-asserted-by":"publisher","first-page":"10167","DOI":"10.1007\/s00500-021-05939-3","volume":"25","author":"BH Abed-alguni","year":"2021","unstructured":"Abed-alguni BH, Alawad NA, Barhoush M, Hammad R (2021) Exploratory cuckoo search for solving single-objective optimization problems. Soft Comput 25(15):10167\u201310180. https:\/\/doi.org\/10.1007\/s00500-021-05939-3","journal-title":"Soft Comput"},{"issue":"9","key":"6207_CR93","doi-asserted-by":"publisher","first-page":"1544","DOI":"10.1080\/0305215X.2017.1408085","volume":"50","author":"S Verma","year":"2018","unstructured":"Verma S, Mukherjee V (2018) Investigation of static transmission expansion planning using the symbiotic organisms search algorithm. Eng Optim 50(9):1544\u20131560. https:\/\/doi.org\/10.1080\/0305215X.2017.1408085","journal-title":"Eng Optim"},{"issue":"15","key":"6207_CR94","doi-asserted-by":"publisher","first-page":"17217","DOI":"10.1007\/s10489-022-03269-x","volume":"52","author":"BH Abed-alguni","year":"2022","unstructured":"Abed-alguni BH, Paul D, Hammad R (2022) Improved Salp swarm algorithm for solving single-objective continuous optimization problems. Appl Intell 52(15):17217\u201317236. https:\/\/doi.org\/10.1007\/s10489-022-03269-x","journal-title":"Appl Intell"},{"key":"6207_CR95","doi-asserted-by":"publisher","unstructured":"Tanabe R, Fukunaga AS (2014) \"Improving the search performance of SHADE using linear population size reduction,\" In: 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, pp 1658-1665. https:\/\/doi.org\/10.1109\/CEC.2014.6900380","DOI":"10.1109\/CEC.2014.6900380"},{"issue":"3","key":"6207_CR96","doi-asserted-by":"publisher","first-page":"1941","DOI":"10.1007\/s00500-020-05267-y","volume":"25","author":"S Dhabal","year":"2021","unstructured":"Dhabal S, Chakrabarti R, Mishra NS, Venkateswaran P (2021) An improved image denoising technique using differential evolution-based salp swarm algorithm. Soft Comput 25(3):1941\u20131961. https:\/\/doi.org\/10.1007\/s00500-020-05267-y","journal-title":"Soft Comput"},{"issue":"4","key":"6207_CR97","doi-asserted-by":"publisher","first-page":"2727","DOI":"10.1007\/s00500-019-04159-0","volume":"24","author":"G Sun","year":"2020","unstructured":"Sun G, Xu G, Jiang N (2020) A simple differential evolution with time-varying strategy for continuous optimization. Soft Comput 24(4):2727\u20132747. https:\/\/doi.org\/10.1007\/s00500-019-04159-0","journal-title":"Soft Comput"},{"key":"6207_CR98","doi-asserted-by":"publisher","first-page":"113902","DOI":"10.1016\/j.eswa.2020.113902","volume":"165","author":"G Iacca","year":"2021","unstructured":"Iacca G, dos Santos Junior VC, Veloso de Melo V (2021) An improved jaya optimization algorithm with l\u00e9vy flight. Expert Syst Appl 165:113902. https:\/\/doi.org\/10.1016\/j.eswa.2020.113902","journal-title":"Expert Syst Appl"},{"key":"6207_CR99","doi-asserted-by":"publisher","unstructured":"Erlich I, Rueda JL, Wildenhues S, Shewarega F (2014) \"Evaluating the mean-variance mapping optimization on the IEEE-CEC 2014 test suite,\" In: 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, pp 1625-1632, https:\/\/doi.org\/10.1109\/CEC.2014.6900516.","DOI":"10.1109\/CEC.2014.6900516"},{"key":"6207_CR100","doi-asserted-by":"publisher","unstructured":"Pierezan J, Dos Santos Coelho L (2018) \"Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems,\" In: 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, pp 1\u20138, https:\/\/doi.org\/10.1109\/CEC.2018.8477769.","DOI":"10.1109\/CEC.2018.8477769"},{"issue":"11","key":"6207_CR101","doi-asserted-by":"publisher","first-page":"13224","DOI":"10.1007\/s10489-022-04201-z","volume":"53","author":"BH Abed-alguni","year":"2023","unstructured":"Abed-alguni BH, Alawad NA, Al-Betar MA, Paul D (2023) Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection. Appl Intell 53(11):13224\u201313260. https:\/\/doi.org\/10.1007\/s10489-022-04201-z","journal-title":"Appl Intell"},{"key":"6207_CR102","doi-asserted-by":"publisher","first-page":"102201","DOI":"10.1016\/j.jocs.2023.102201","volume":"75","author":"BH Abed-alguni","year":"2024","unstructured":"Abed-alguni BH, Al-Jarah SH (2024) IBJA: An improved binary DJaya algorithm for feature selection. J Comput Sci 75:102201. https:\/\/doi.org\/10.1016\/j.jocs.2023.102201","journal-title":"J Comput Sci"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-024-06207-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-024-06207-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-024-06207-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T10:20:27Z","timestamp":1721902827000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-024-06207-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,26]]},"references-count":102,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["6207"],"URL":"https:\/\/doi.org\/10.1007\/s11227-024-06207-5","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,26]]},"assertion":[{"value":"8 May 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2024","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"}}]}}