{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T03:04:46Z","timestamp":1769915086634,"version":"3.49.0"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T00:00:00Z","timestamp":1748995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T00:00:00Z","timestamp":1748995200000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1007\/s00521-025-11245-y","type":"journal-article","created":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T01:43:47Z","timestamp":1749001427000},"page":"16643-16675","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An enhanced weighted mean of\u00a0vectors\u00a0optimizer: addressing combined heat and power economic dispatch with system losses and valve point loading effect"],"prefix":"10.1007","volume":"37","author":[{"given":"Mohamed","family":"Ebeed","sequence":"first","affiliation":[]},{"given":"Mosaed","family":"Elnaka","sequence":"additional","affiliation":[]},{"given":"Noor Habib","family":"Khan","sequence":"additional","affiliation":[]},{"given":"Raheela","family":"Jamal","sequence":"additional","affiliation":[]},{"given":"Adel Bedair","family":"Abdel-Rahman","sequence":"additional","affiliation":[]},{"given":"Francisco","family":"Jurado","sequence":"additional","affiliation":[]},{"given":"Salah","family":"Kamel","sequence":"additional","affiliation":[]},{"given":"Mahmoud","family":"Rihan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,4]]},"reference":[{"key":"11245_CR1","doi-asserted-by":"crossref","unstructured":"Urazel B, Keskin K (2023) A new solution approach for non-convex combined heat and power economic dispatch problem considering power loss. Energy 128031","DOI":"10.1016\/j.energy.2023.128031"},{"key":"11245_CR2","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/j.applthermaleng.2015.12.136","volume":"99","author":"AA Haghrah","year":"2016","unstructured":"Haghrah AA, Nazari-Heris M, Mohammadi-ivatloo B (2016) Solving combined heat and power economic dispatch problem using real coded genetic algorithm with improved M\u00fchlenbein mutation. Appl Therm Eng 99:465\u2013475","journal-title":"Appl Therm Eng"},{"key":"11245_CR3","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1016\/j.ijepes.2007.06.006","volume":"29","author":"A Vasebi","year":"2007","unstructured":"Vasebi A, Fesanghary M, Bathaee SMT (2007) Combined heat and power economic dispatch by harmony search algorithm. Int J Electr Power Energy Syst 29:713\u2013719","journal-title":"Int J Electr Power Energy Syst"},{"issue":"13","key":"11245_CR4","doi-asserted-by":"publisher","first-page":"19274","DOI":"10.1007\/s11227-024-06207-5","volume":"80","author":"NA Alawad","year":"2024","unstructured":"Alawad NA, Abed-alguni BH, El-ibini M (2024) Hybrid snake optimizer algorithm for solving economic load dispatch problem with valve point effect. J Supercomput 80(13):19274\u201319323. https:\/\/doi.org\/10.1007\/s11227-024-06207-5","journal-title":"J Supercomput"},{"key":"11245_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2023.121167","volume":"342","author":"T Zhou","year":"2023","unstructured":"Zhou T et al (2023) A novel multi-agent based crisscross algorithm with hybrid neighboring topology for combined heat and power economic dispatch. Appl Energy 342:121167","journal-title":"Appl Energy"},{"key":"11245_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2019.105982","volume":"177","author":"J Chen","year":"2019","unstructured":"Chen J, Zhang Y (2019) A lagrange relaxation-based alternating iterative algorithm for non-convex combined heat and power dispatch problem. Electr Power Syst Res 177:105982","journal-title":"Electr Power Syst Res"},{"issue":"3","key":"11245_CR7","doi-asserted-by":"publisher","first-page":"1392","DOI":"10.1109\/59.336125","volume":"9","author":"FJ Rooijers","year":"1994","unstructured":"Rooijers FJ, van Amerongen RA (1994) Static economic dispatch for co-generation systems. IEEE Trans Power Syst 9(3):1392\u20131398","journal-title":"IEEE Trans Power Syst"},{"issue":"1","key":"11245_CR8","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1016\/j.ejor.2006.09.072","volume":"183","author":"A Rong","year":"2007","unstructured":"Rong A, Lahdelma R (2007) An efficient envelope-based Branch and Bound algorithm for non-convex combined heat and power production planning. Eur J Oper Res 183(1):412\u2013431","journal-title":"Eur J Oper Res"},{"key":"11245_CR9","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.energy.2016.02.044","volume":"102","author":"H Sadeghian","year":"2016","unstructured":"Sadeghian H, Ardehali M (2016) A novel approach for optimal economic dispatch scheduling of integrated combined heat and power systems for maximum economic profit and minimum environmental emissions based on Benders decomposition. Energy 102:10\u201323","journal-title":"Energy"},{"key":"11245_CR10","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.enconman.2013.03.013","volume":"71","author":"HR Abdolmohammadi","year":"2013","unstructured":"Abdolmohammadi HR, Kazemi A (2013) A benders decomposition approach for a combined heat and power economic dispatch. Energy Convers Manage 71:21\u201331","journal-title":"Energy Convers Manage"},{"issue":"1","key":"11245_CR11","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/S0377-2217(02)00460-5","volume":"148","author":"R Lahdelma","year":"2003","unstructured":"Lahdelma R, Hakonen H (2003) An efficient linear programming algorithm for combined heat and power production. Eur J Oper Res 148(1):141\u2013151","journal-title":"Eur J Oper Res"},{"key":"11245_CR12","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.ijepes.2015.07.031","volume":"74","author":"N Jayakumar","year":"2016","unstructured":"Jayakumar N, Subramanian S, Ganesan S, Elanchezhian E (2016) Grey wolf optimization for combined heat and power dispatch with cogeneration systems. Int J Electr Power Energy Syst 74:252\u2013264","journal-title":"Int J Electr Power Energy Syst"},{"key":"11245_CR13","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2023.2173511","author":"Q Yang","year":"2023","unstructured":"Yang Q, Gao H, Dong N, Liu P (2023) An elitist cuckoo search algorithm for combined heat and power economic dispatch. Int J Prod Rese. https:\/\/doi.org\/10.1080\/00207543.2023.2173511","journal-title":"Int J Prod Rese"},{"issue":"2","key":"11245_CR14","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/s40998-022-00560-y","volume":"47","author":"S Duman","year":"2023","unstructured":"Duman S, Ozbay H, Celik E, Efe SB, Isen E, Duman B (2023) Improvement of the fitness-distance balance-based supply-demand optimization algorithm for solving the combined heat and power economic dispatch problem. Iranian J Sci Technol, Trans Elect Eng 47(2):513\u2013548","journal-title":"Iranian J Sci Technol, Trans Elect Eng"},{"issue":"4","key":"11245_CR15","doi-asserted-by":"publisher","first-page":"2161","DOI":"10.1007\/s00202-023-01801-x","volume":"105","author":"MA Mellal","year":"2023","unstructured":"Mellal MA, Khitous M, Zemmouri M (2023) Combined heat and power economic dispatch problem with binary method using flower pollination algorithm and differential evolution. Electr Eng 105(4):2161\u20132168. https:\/\/doi.org\/10.1007\/s00202-023-01801-x","journal-title":"Electr Eng"},{"issue":"5","key":"11245_CR16","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1080\/0305215X.2022.2034802","volume":"55","author":"\u0130 Eke","year":"2023","unstructured":"Eke \u0130 (2023) Combined heat and power economic dispatch by Taguchi-based filled function. Eng Optim 55(5):791\u2013805","journal-title":"Eng Optim"},{"key":"11245_CR17","doi-asserted-by":"crossref","unstructured":"Li D, Yang C, Zou D (2023) A modified genetic algorithm for combined heat and power economic dispatch","DOI":"10.21203\/rs.3.rs-1301134\/v1"},{"issue":"2","key":"11245_CR18","first-page":"100","volume":"4","author":"SM Sadek","year":"2023","unstructured":"Sadek SM (2023) Economic dispatch of combined heat and power systems using particle swarm optimization. Int J Adv Eng Bus Sci 4(2):100\u2013109","journal-title":"Int J Adv Eng Bus Sci"},{"key":"11245_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.104753","volume":"111","author":"M Ramachandran","year":"2022","unstructured":"Ramachandran M, Mirjalili S, Nazari-Heris M, Parvathysankar DS, Sundaram A, Gnanakkan CARC (2022) A hybrid grasshopper optimization algorithm and harris hawks optimizer for combined heat and power economic dispatch problem. Eng Appl Artif Intell 111:104753","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"11245_CR20","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1016\/j.aej.2021.07.001","volume":"61","author":"AM Shaheen","year":"2022","unstructured":"Shaheen AM, Elsayed AM, Ginidi AR, El-Sehiemy RA, Alharthi MM, Ghoneim SS (2022) A novel improved marine predators algorithm for combined heat and power economic dispatch problem. Alex Eng J 61(3):1834\u20131851","journal-title":"Alex Eng J"},{"key":"11245_CR21","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 M, 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 12:8561\u20138584","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"1","key":"11245_CR22","first-page":"1","volume":"12","author":"M Khalili","year":"2021","unstructured":"Khalili M, Nikoukar J, Sedighizadeh M (2021) Combined heat and power economic dispatch using improved shuffled frog leaping algorithm. J Adv Comput Res 12(1):1\u201311","journal-title":"J Adv Comput Res"},{"issue":"2","key":"11245_CR23","doi-asserted-by":"publisher","first-page":"276","DOI":"10.35833\/MPCE.2018.000753","volume":"8","author":"MI Alomoush","year":"2020","unstructured":"Alomoush MI (2020) Optimal combined heat and power economic dispatch using stochastic fractal search algorithm. J Modern Power Syst Clean Energy 8(2):276\u2013286","journal-title":"J Modern Power Syst Clean Energy"},{"issue":"9","key":"11245_CR24","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.3390\/pr8091036","volume":"8","author":"A Rabiee","year":"2020","unstructured":"Rabiee A, Jamadi M, Mohammadi-Ivatloo B, Ahmadian A (2020) Optimal non-convex combined heat and power economic dispatch via improved artificial bee colony algorithm. Processes 8(9):1036","journal-title":"Processes"},{"key":"11245_CR25","doi-asserted-by":"publisher","unstructured":"Ebeed M, hassan S, Kamel S, Nasrat L, Mohamed AW, Youssef AR (2025) Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm. Sci Rep 15(1). https:\/\/doi.org\/10.1038\/s41598-024-79782-5","DOI":"10.1038\/s41598-024-79782-5"},{"key":"11245_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116516","volume":"195","author":"I Ahmadianfar","year":"2022","unstructured":"Ahmadianfar I, Heidari AA, Noshadian S, Chen H, Gandomi AH (2022) INFO: an efficient optimization algorithm based on weighted mean of vectors. Expert Syst Appl 195:116516","journal-title":"Expert Syst Appl"},{"key":"11245_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105169","volume":"190","author":"HT Kahraman","year":"2020","unstructured":"Kahraman HT, Aras S, Gedikli E (2020) Fitness-distance balance (FDB): a new selection method for meta-heuristic search algorithms. Knowl-Based Syst 190:105169","journal-title":"Knowl-Based Syst"},{"key":"11245_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2020.100821","volume":"61","author":"S Aras","year":"2021","unstructured":"Aras S, Gedikli E, Kahraman HT (2021) A novel stochastic fractal search algorithm with fitness-distance balance for global numerical optimization. Swarm Evol Comput 61:100821","journal-title":"Swarm Evol Comput"},{"key":"11245_CR29","doi-asserted-by":"publisher","first-page":"6577","DOI":"10.1007\/s00500-021-05654-z","volume":"25","author":"S Duman","year":"2021","unstructured":"Duman S, Kahraman HT, Guvenc U, Aras S (2021) Development of a L\u00e9vy flight and FDB-based coyote optimization algorithm for global optimization and real-world ACOPF problems. Soft Comput 25:6577\u20136617","journal-title":"Soft Comput"},{"key":"11245_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108271","volume":"257","author":"Y Xu","year":"2022","unstructured":"Xu Y, Peng Y, Su X, Yang Z, Ding C, Yang X (2022) Improving teaching\u2013learning-based-optimization algorithm by a distance-fitness learning strategy. Knowl-Based Syst 257:108271","journal-title":"Knowl-Based Syst"},{"key":"11245_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113612","volume":"158","author":"H Chen","year":"2020","unstructured":"Chen H, Li W, Yang X (2020) A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems. Expert Syst Appl 158:113612","journal-title":"Expert Syst Appl"},{"issue":"11","key":"11245_CR32","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0260725","volume":"16","author":"J Fan","year":"2021","unstructured":"Fan J, Li Y, Wang T (2021) An improved African vultures optimization algorithm based on tent chaotic mapping and time-varying mechanism. PLoS ONE 16(11):e0260725","journal-title":"PLoS ONE"},{"issue":"6","key":"11245_CR33","doi-asserted-by":"publisher","first-page":"3954","DOI":"10.1109\/TSMC.2019.2956121","volume":"51","author":"S Gao","year":"2019","unstructured":"Gao S, Yu Y, Wang Y, Wang J, Cheng J, Zhou M (2019) Chaotic local search-based differential evolution algorithms for optimization. IEEE Trans Syst, Man, Cybern: Syst 51(6):3954\u20133967","journal-title":"IEEE Trans Syst, Man, Cybern: Syst"},{"key":"11245_CR34","doi-asserted-by":"publisher","first-page":"51146","DOI":"10.1109\/ACCESS.2021.3066914","volume":"9","author":"MH Hassan","year":"2021","unstructured":"Hassan MH, Kamel S, Salih SQ, Khurshaid T, Ebeed M (2021) Developing chaotic artificial ecosystem-based optimization algorithm for combined economic emission dispatch. IEEE Access 9:51146\u201351165","journal-title":"IEEE Access"},{"issue":"11","key":"11245_CR35","doi-asserted-by":"publisher","first-page":"2413","DOI":"10.1049\/rpg2.12531","volume":"16","author":"M Bastawy","year":"2022","unstructured":"Bastawy M, Ebeed M, Ali A, Shaaban MF, Khan B, Kamel S (2022) Optimal day-ahead scheduling in micro-grid with renewable based DGs and smart charging station of EVs using an enhanced manta-ray foraging optimisation. IET Renew Power Gener 16(11):2413\u20132428","journal-title":"IET Renew Power Gener"},{"issue":"22","key":"11245_CR36","doi-asserted-by":"publisher","first-page":"20395","DOI":"10.1007\/s00521-022-07526-5","volume":"34","author":"F Gami","year":"2022","unstructured":"Gami F et al (2022) Stochastic optimal reactive power dispatch at varying time of load demand and renewable energsy resources using an efficient modified jellyfish optimizer. Neural Comput Appl 34(22):20395\u201320410","journal-title":"Neural Comput Appl"},{"key":"11245_CR37","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1016\/j.aej.2023.04.002","volume":"72","author":"MH Hassan","year":"2023","unstructured":"Hassan MH, Kamel S, Jurado F, Ebeed M, Elnaggar MF (2023) Economic load dispatch solution of large-scale power systems using an enhanced beluga whale optimizer. Alex Eng J 72:573\u2013591","journal-title":"Alex Eng J"},{"key":"11245_CR38","doi-asserted-by":"crossref","unstructured":"Tizhoosh HR (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), 2005, vol. 1: IEEE, pp. 695\u2013701.","DOI":"10.1109\/CIMCA.2005.1631345"},{"issue":"24","key":"11245_CR39","doi-asserted-by":"publisher","first-page":"17645","DOI":"10.1007\/s00521-023-08623-9","volume":"35","author":"M Ebeed","year":"2023","unstructured":"Ebeed M et al (2023) Optimal energy planning of multi-microgrids at stochastic nature of load demand and renewable energy resources using a modified Capuchin Search Algorithm. Neural Comput Appl 35(24):17645\u201317670. https:\/\/doi.org\/10.1007\/s00521-023-08623-9","journal-title":"Neural Comput Appl"},{"key":"11245_CR40","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.aej.2023.09.042","volume":"81","author":"Z Wang","year":"2023","unstructured":"Wang Z, Huang L, Yang S, Li D, He D, Chan S (2023) A quasi-oppositional learning of updating quantum state and Q-learning based on the dung beetle algorithm for global optimization. Alex Eng J 81:469\u2013488","journal-title":"Alex Eng J"},{"issue":"14","key":"11245_CR41","doi-asserted-by":"publisher","first-page":"6261","DOI":"10.3390\/s23146261","volume":"23","author":"AA Qaffas","year":"2023","unstructured":"Qaffas AA (2023) Optimized back propagation neural network using quasi-oppositional learning-based african vulture optimization algorithm for data fusion in wireless sensor networks. Sensors 23(14):6261","journal-title":"Sensors"},{"key":"11245_CR42","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-023-00889-1","author":"V Basetti","year":"2023","unstructured":"Basetti V, Shiva CK, Sen S, Mukherjee V (2023) An intelligent quasi-oppositional HBO technique to solve non-smooth non-convex economic dispatch problem. Evolutionary Intell. https:\/\/doi.org\/10.1007\/s12065-023-00889-1","journal-title":"Evolutionary Intell"},{"issue":"2","key":"11245_CR43","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1002\/oca.2790","volume":"44","author":"C Paul","year":"2023","unstructured":"Paul C, Roy PK, Mukherjee V (2023) Study of wind\u2010solar based combined heat and power economic dispatch problem using quasi\u2010oppositional\u2010based whale optimization technique. Optimal Control Appl Methods 44(2):480\u2013507. https:\/\/doi.org\/10.1002\/oca.2790","journal-title":"Optimal Control Appl Methods"},{"key":"11245_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2023.109250","volume":"152","author":"M Ebeed","year":"2023","unstructured":"Ebeed M, Mostafa A, Aly MM, Jurado F, Kamel S (2023) Stochastic optimal power flow analysis of power systems with wind\/PV\/TCSC using a developed Runge Kutta optimizer. Int J Electr Power Energy Syst 152:109250","journal-title":"Int J Electr Power Energy Syst"},{"key":"11245_CR45","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10403-9","author":"M Abdel-Basset","year":"2023","unstructured":"Abdel-Basset M, El-Shahat D, Jameel M, Abouhawwash M (2023) Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems. Artif Intell Rev. https:\/\/doi.org\/10.1007\/s10462-023-10403-9","journal-title":"Artif Intell Rev"},{"key":"11245_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105104","volume":"114","author":"H Karmouni","year":"2022","unstructured":"Karmouni H, Chouiekh M, Motahhir S, Qjidaa H, Jamil MO, Sayyouri M (2022) Optimization and implementation of a photovoltaic pumping system using the sine\u2013cosine algorithm. Eng Appl Artif Intell 114:105104","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"11245_CR47","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/s10922-022-09653-9","volume":"30","author":"TS Naseri","year":"2022","unstructured":"Naseri TS, Gharehchopogh FS (2022) A feature selection based on the farmland fertility algorithm for improved intrusion detection systems. J Netw Syst Manage 30(3):40","journal-title":"J Netw Syst Manage"},{"issue":"4","key":"11245_CR48","doi-asserted-by":"publisher","first-page":"1302","DOI":"10.3390\/en15041302","volume":"15","author":"A Ramadan","year":"2022","unstructured":"Ramadan A, Ebeed M, Kamel S, Agwa AM, Tostado-V\u00e9liz M (2022) The probabilistic optimal integration of renewable distributed generators considering the time-varying load based on an artificial gorilla troops optimizer. Energies 15(4):1302","journal-title":"Energies"},{"issue":"8","key":"11245_CR49","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1515\/mt-2022-0050","volume":"64","author":"D G\u00fcrses","year":"2022","unstructured":"G\u00fcrses D, Mehta P, Sait SM, Yildiz AR (2022) African vultures optimization algorithm for optimization of shell and tube heat exchangers. Materials Testing 64(8):1234\u20131241","journal-title":"Materials Testing"},{"key":"11245_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2022.103282","volume":"174","author":"B Abdollahzadeh","year":"2022","unstructured":"Abdollahzadeh B, Gharehchopogh FS, Khodadadi N, Mirjalili S (2022) Mountain gazelle optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems. Adv Eng Softw 174:103282","journal-title":"Adv Eng Softw"},{"key":"11245_CR51","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105082","volume":"114","author":"L Wang","year":"2022","unstructured":"Wang L, Cao Q, Zhang Z, Mirjalili S, Zhao W (2022) Artificial rabbits optimization: a new bio-inspired meta-heuristic algorithm for solving engineering optimization problems. Eng Appl Artif Intell 114:105082","journal-title":"Eng Appl Artif Intell"},{"key":"11245_CR52","doi-asserted-by":"publisher","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":"11245_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108455","volume":"243","author":"A Srivastava","year":"2022","unstructured":"Srivastava A, Das DK (2022) A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid. Knowl-Based Syst 243:108455","journal-title":"Knowl-Based Syst"},{"key":"11245_CR54","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.epsr.2012.08.005","volume":"95","author":"B Mohammadi-Ivatloo","year":"2013","unstructured":"Mohammadi-Ivatloo B, Moradi-Dalvand M, Rabiee A (2013) Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients. Electr Power Syst Res 95:9\u201318","journal-title":"Electr Power Syst Res"},{"issue":"2","key":"11245_CR55","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/S0378-7796(99)00011-5","volume":"52","author":"Y Song","year":"1999","unstructured":"Song Y, Chou C, Stonham T (1999) Combined heat and power economic dispatch by improved ant colony search algorithm. Electr Power Syst Res 52(2):115\u2013121","journal-title":"Electr Power Syst Res"},{"key":"11245_CR56","doi-asserted-by":"crossref","unstructured":"Sudhakaran M, Slochanal SMR (2003) Integrating genetic algorithms and tabu search for combined heat and power economic dispatch. In TENCON 2003. Conference on convergent technologies for Asia-Pacific region, 2003, vol. 1: IEEE, pp. 67\u201371.","DOI":"10.1109\/TENCON.2003.1273225"},{"key":"11245_CR57","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s11708-013-0248-8","volume":"7","author":"A Yazdani","year":"2013","unstructured":"Yazdani A, Jayabarathi T, Ramesh V, Raghunathan T (2013) Combined heat and power economic dispatch problem using firefly algorithm. Front Energy 7:133\u2013139","journal-title":"Front Energy"},{"key":"11245_CR58","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s11708-013-0276-4","volume":"8","author":"T Jayabarathi","year":"2014","unstructured":"Jayabarathi T, Yazdani A, Ramesh V, Raghunathan T (2014) Combined heat and power economic dispatch problem using the invasive weed optimization algorithm. Front Energy 8:25\u201330","journal-title":"Front Energy"},{"key":"11245_CR59","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.energy.2013.04.066","volume":"56","author":"B Shi","year":"2013","unstructured":"Shi B, Yan L-X, Wu W (2013) Multi-objective optimization for combined heat and power economic dispatch with power transmission loss and emission reduction. Energy 56:135\u2013143","journal-title":"Energy"},{"key":"11245_CR60","doi-asserted-by":"crossref","unstructured":"Keskin K, Urazel B (2003) Fuel constrained combined heat and power dispatch problem using marine predators algorithm. Electr Eng, pp. 1\u201313, 2023.","DOI":"10.1007\/s00202-023-01931-2"},{"key":"11245_CR61","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.ijepes.2015.11.069","volume":"78","author":"M Basu","year":"2016","unstructured":"Basu M (2016) Group search optimization for combined heat and power economic dispatch. Int J Electr Power Energy Syst 78:138\u2013147","journal-title":"Int J Electr Power Energy Syst"},{"issue":"3","key":"11245_CR62","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.3390\/en16031221","volume":"16","author":"P Kaur","year":"2023","unstructured":"Kaur P, Chaturvedi KT, Kolhe ML (2023) Combined heat and power economic dispatching within energy network using hybrid metaheuristic technique. Energies 16(3):1221","journal-title":"Energies"},{"key":"11245_CR63","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1007\/s40998-019-00280-w","volume":"44","author":"JK Pattanaik","year":"2020","unstructured":"Pattanaik JK, Basu M, Dash DP (2020) Heat transfer search algorithm for combined heat and power economic dispatch. Iranian J Sci Technol, Trans Electr Eng 44:963\u2013978","journal-title":"Iranian J Sci Technol, Trans Electr Eng"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11245-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-025-11245-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-11245-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T17:31:13Z","timestamp":1757179873000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-025-11245-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,4]]},"references-count":63,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["11245"],"URL":"https:\/\/doi.org\/10.1007\/s00521-025-11245-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,4]]},"assertion":[{"value":"7 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"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":"Ethical approval"}}]}}