{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T04:18:17Z","timestamp":1783225097262,"version":"3.54.6"},"reference-count":59,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Swarm and Evolutionary Computation"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.swevo.2026.102460","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T16:51:05Z","timestamp":1782924665000},"page":"102460","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Medium-term low-carbon many-objective scheduling optimization of generation joint venture"],"prefix":"10.1016","volume":"107","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1130-0953","authenticated-orcid":false,"given":"Bo","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuli","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xifan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunpeng","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongfu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingrong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.swevo.2026.102460_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2020.110584","article-title":"Is renewable energy acceptable with power grid expansion? A quantitative study of South Korea\u2019s renewable energy acceptance","volume":"139","author":"Kim","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.swevo.2026.102460_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2023.127571","article-title":"Investigating the concurrence of transmission grid expansion and the dissemination of renewables","volume":"276","author":"Zapata","year":"2023","journal-title":"Energy"},{"issue":"1","key":"10.1016\/j.swevo.2026.102460_b3","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1109\/TPWRS.2024.3415739","article-title":"Enhancing distribution system resilience with peer-to-peer transactions","volume":"40","author":"Zhu","year":"2024","journal-title":"IEEE Trans. Power Syst."},{"key":"10.1016\/j.swevo.2026.102460_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.fuel.2022.124905","article-title":"The current techno-economic, environmental, policy status and perspectives of sustainable aviation fuel (SAF)","volume":"325","author":"Shahriar","year":"2022","journal-title":"Fuel"},{"issue":"6","key":"10.1016\/j.swevo.2026.102460_b5","doi-asserted-by":"crossref","first-page":"8403","DOI":"10.1109\/TIA.2024.3436471","article-title":"Intelligent load forecasting and renewable energy integration for enhanced grid reliability","volume":"60","author":"Saxena","year":"2024","journal-title":"IEEE Trans. Ind. Appl."},{"key":"10.1016\/j.swevo.2026.102460_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.enpol.2021.112252","article-title":"Does green investment improve energy firm performance?","volume":"153","author":"Chen","year":"2021","journal-title":"Energy Policy"},{"key":"10.1016\/j.swevo.2026.102460_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.eneco.2021.105511","article-title":"Environmental efficiency analysis of China\u2019s coal-fired power plants considering heterogeneity in power generation company groups","volume":"102","author":"Nakaishi","year":"2021","journal-title":"Energy Econ."},{"issue":"6","key":"10.1016\/j.swevo.2026.102460_b8","doi-asserted-by":"crossref","first-page":"5396","DOI":"10.1109\/TNSE.2023.3344729","article-title":"Challenges and pathways of low-carbon oriented energy transition and power system planning strategy: a review","volume":"11","author":"Qiu","year":"2023","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102460_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2021.111393","article-title":"Virtual power plant models and electricity markets-a review","volume":"149","author":"Naval","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.swevo.2026.102460_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.102096","article-title":"Multi-objective dynamic economic emission dispatch considering the risk of wind power-electric vehicle interaction using teaching-learning-based optimization algorithm","volume":"98","author":"Qiao","year":"2025","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102460_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.101928","article-title":"Swarm intelligent search and rescue method for economic emission load dispatch of renewable integrated power system considering uncertainty","volume":"95","author":"Mishra","year":"2025","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102460_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101525","article-title":"Cooperative constrained multi-objective dual-population evolutionary algorithm for optimal dispatching of wind-power integrated power system","volume":"87","author":"Zhang","year":"2024","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102460_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2024.131775","article-title":"Triple-layer joint optimization of capacity and operation for integrated energy systems by coordination on multiple timescales","volume":"302","author":"Zhang","year":"2024","journal-title":"Energy"},{"key":"10.1016\/j.swevo.2026.102460_b14","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2020.110206","article-title":"Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches","volume":"135","author":"Klemm","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.swevo.2026.102460_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2021.118455","article-title":"Coordinating multi-energy to improve urban integrated energy system resilience against extreme weather events","volume":"309","author":"Li","year":"2022","journal-title":"Appl. Energy"},{"key":"10.1016\/j.swevo.2026.102460_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2021.122717","article-title":"Low-carbon economic dispatch and energy sharing method of multiple integrated energy systems from the perspective of system of systems","volume":"244","author":"Huang","year":"2022","journal-title":"Energy"},{"key":"10.1016\/j.swevo.2026.102460_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2023.121137","article-title":"An improved multi-timescale coordinated control strategy for an integrated energy system with a hybrid energy storage system","volume":"343","author":"Pan","year":"2023","journal-title":"Appl. Energy"},{"key":"10.1016\/j.swevo.2026.102460_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2021.111186","article-title":"Sustainable renewable energy supply networks optimization\u2013the gradual transition to a renewable energy system within the European union by 2050","volume":"146","author":"Potr\u010d","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.swevo.2026.102460_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2020.119311","article-title":"Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system","volume":"217","author":"Wu","year":"2021","journal-title":"Energy"},{"key":"10.1016\/j.swevo.2026.102460_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.solener.2025.113242","article-title":"Optimization of concentrated solar power subsystems with a focus on green certificate acquisition","volume":"288","author":"Wu","year":"2025","journal-title":"Sol. Energy"},{"key":"10.1016\/j.swevo.2026.102460_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2023.113192","article-title":"A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques","volume":"176","author":"Thirunavukkarasu","year":"2023","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"18","key":"10.1016\/j.swevo.2026.102460_b22","doi-asserted-by":"crossref","first-page":"4553","DOI":"10.3390\/en17184553","article-title":"Research on the multi-agent evolutionary game behavior of joint operation between coal power enterprises and new energy power enterprises under government supervision","volume":"17","author":"Chen","year":"2024","journal-title":"Energies"},{"issue":"4","key":"10.1016\/j.swevo.2026.102460_b23","doi-asserted-by":"crossref","first-page":"2445","DOI":"10.1109\/TSTE.2021.3100088","article-title":"Coordinated operation strategy for a virtual power plant with multiple DER aggregators","volume":"12","author":"Yi","year":"2021","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"10.1016\/j.swevo.2026.102460_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2021.117027","article-title":"Peer to peer transactive energy for multiple energy hub with the penetration of high-level renewable energy","volume":"295","author":"Gan","year":"2021","journal-title":"Appl. Energy"},{"key":"10.1016\/j.swevo.2026.102460_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2021.121661","article-title":"A medium-term hybrid IGDT-robust optimization model for optimal self scheduling of multi-carrier energy systems","volume":"238","author":"Najafi","year":"2022","journal-title":"Energy"},{"issue":"86","key":"10.1016\/j.swevo.2026.102460_b26","doi-asserted-by":"crossref","first-page":"33393","DOI":"10.1016\/j.ijhydene.2023.05.109","article-title":"Gas turbine operating as part of a thermal power plant with hydrogen storages","volume":"48","author":"Marin","year":"2023","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.swevo.2026.102460_b27","doi-asserted-by":"crossref","first-page":"1497","DOI":"10.1016\/j.rser.2017.05.278","article-title":"Review of the operational flexibility and emissions of gas-and coal-fired power plants in a future with growing renewables","volume":"82","author":"Gonzalez-Salazar","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.swevo.2026.102460_b28","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/j.renene.2022.09.065","article-title":"Renewable energy for sustainable development","volume":"199","author":"\u00d8stergaard","year":"2022","journal-title":"Renew. Energy"},{"issue":"1","key":"10.1016\/j.swevo.2026.102460_b29","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1109\/TSTE.2022.3223684","article-title":"Collaborative optimization of PV greenhouses and clean energy systems in rural areas","volume":"14","author":"Fu","year":"2022","journal-title":"IEEE Trans. Sustain. Energy"},{"issue":"1","key":"10.1016\/j.swevo.2026.102460_b30","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1007\/s43684-023-00060-8","article-title":"Shapley value: from cooperative game to explainable artificial intelligence","volume":"4","author":"Li","year":"2024","journal-title":"Auton. Intell. Syst."},{"key":"10.1016\/j.swevo.2026.102460_b31","doi-asserted-by":"crossref","DOI":"10.1109\/TETCI.2025.3526268","article-title":"An efficient sampling approach to offspring generation for evolutionary large-scale constrained multi-objective optimization","author":"Si","year":"2025","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.swevo.2026.102460_b32","first-page":"1","article-title":"A stricter constraint dominance principle based algorithm for enhancing multi-performance in constrained multi-objective optimization","author":"Yu","year":"2025","journal-title":"J. Oper. Res. Soc."},{"key":"10.1016\/j.swevo.2026.102460_b33","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101544","article-title":"A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs","volume":"87","author":"Yao","year":"2024","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102460_b34","doi-asserted-by":"crossref","first-page":"6144","DOI":"10.1109\/JSTARS.2022.3193884","article-title":"Infrared small target detection based on the improved density peak global search and human visual local contrast mechanism","volume":"15","author":"Kou","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens."},{"issue":"4","key":"10.1016\/j.swevo.2026.102460_b35","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1109\/TEVC.2023.3281666","article-title":"Evolutionary constrained multiobjective optimization: Scalable high-dimensional constraint benchmarks and algorithm","volume":"28","author":"Qiao","year":"2023","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102460_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101504","article-title":"Benchmark problems for large-scale constrained multi-objective optimization with baseline results","volume":"86","author":"Qiao","year":"2024","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102460_b37","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2022.101207","article-title":"A novel particle swarm optimization algorithm with L\u00e9vy flight and orthogonal learning","volume":"75","author":"Wang","year":"2022","journal-title":"Swarm Evol. Comput."},{"issue":"5","key":"10.1016\/j.swevo.2026.102460_b38","doi-asserted-by":"crossref","first-page":"3332","DOI":"10.1109\/TNSE.2022.3176895","article-title":"Distributed optimization algorithms for MASs with network attacks: From continuous-time to event-triggered communication","volume":"9","author":"Wang","year":"2022","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102460_b39","doi-asserted-by":"crossref","DOI":"10.1016\/j.rico.2025.100606","article-title":"The human-on-the-loop evaluation of multiobjective optimization algorithms for solving a real-world problem that integrates the food-energy-water nexus security and climate change vulnerability","author":"Okola","year":"2025","journal-title":"Results Control. Optim."},{"key":"10.1016\/j.swevo.2026.102460_b40","first-page":"1","article-title":"A novel hybrid conjugate gradient method for multiobjective optimization problems","author":"Peng","year":"2024","journal-title":"Optimization"},{"issue":"1","key":"10.1016\/j.swevo.2026.102460_b41","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1186\/s40537-025-01140-7","article-title":"GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications","volume":"12","author":"Yan","year":"2025","journal-title":"J. Big Data"},{"key":"10.1016\/j.swevo.2026.102460_b42","article-title":"A comparison of evolutionary algorithms on a large scale many-objective problem in food\u2013energy\u2013water nexus","volume":"10","author":"Okola","year":"2023","journal-title":"Results Control. Optim."},{"key":"10.1016\/j.swevo.2026.102460_b43","article-title":"Dynamic multivariation multifactorial evolutionary algorithm for large-scale multiobjective optimization","author":"Jiang","year":"2025","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"issue":"2","key":"10.1016\/j.swevo.2026.102460_b44","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1007\/s40747-021-00270-8","article-title":"A comparative study of many-objective optimizers on large-scale many-objective software clustering problems","volume":"7","author":"Prajapati","year":"2021","journal-title":"Complex & Intell. Syst."},{"issue":"4","key":"10.1016\/j.swevo.2026.102460_b45","article-title":"A levy flight based strategy to improve the exploitation capability of arithmetic optimization algorithm for engineering global optimization problems","volume":"34","author":"Dhawale","year":"2023","journal-title":"Trans. Emerg. Telecommun. Technol."},{"issue":"10","key":"10.1016\/j.swevo.2026.102460_b46","doi-asserted-by":"crossref","first-page":"1801","DOI":"10.1109\/JAS.2022.105875","article-title":"Integrating conjugate gradients into evolutionary algorithms for large-scale continuous multi-objective optimization","volume":"9","author":"Tian","year":"2022","journal-title":"IEEE\/CAA J. Autom. Sin."},{"issue":"12","key":"10.1016\/j.swevo.2026.102460_b47","doi-asserted-by":"crossref","first-page":"7596","DOI":"10.1109\/TCYB.2022.3178929","article-title":"Multipopulation-based differential evolution for large-scale many-objective optimization","volume":"53","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Cybern."},{"issue":"4","key":"10.1016\/j.swevo.2026.102460_b48","doi-asserted-by":"crossref","first-page":"236","DOI":"10.3390\/ijgi9040236","article-title":"An improved parallelized multi-objective optimization method for complex geographical spatial sampling: AMOSA-II","volume":"9","author":"Li","year":"2020","journal-title":"ISPRS Int. J. Geo-Information"},{"key":"10.1016\/j.swevo.2026.102460_b49","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.135731","article-title":"Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games","volume":"323","author":"Wang","year":"2025","journal-title":"Energy"},{"key":"10.1016\/j.swevo.2026.102460_b50","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.107865","article-title":"A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information","volume":"131","author":"Gong","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"6","key":"10.1016\/j.swevo.2026.102460_b51","doi-asserted-by":"crossref","first-page":"2141","DOI":"10.1080\/03610926.2022.2121144","article-title":"A robust spearman correlation coefficient permutation test","volume":"53","author":"Yu","year":"2024","journal-title":"Comm. Statist. Theory Methods"},{"issue":"6","key":"10.1016\/j.swevo.2026.102460_b52","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1080\/00949655.2022.2123484","article-title":"A simple consistent Bayes factor for testing the Kendall rank correlation coefficient","volume":"93","author":"Zhang","year":"2023","journal-title":"J. Stat. Comput. Simul."},{"issue":"8","key":"10.1016\/j.swevo.2026.102460_b53","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1080\/0305215X.2021.1939695","article-title":"Algorithms for generating pareto fronts of multi-objective integer and mixed-integer programming problems","volume":"54","author":"Burachik","year":"2022","journal-title":"Eng. Optim."},{"key":"10.1016\/j.swevo.2026.102460_b54","doi-asserted-by":"crossref","DOI":"10.1016\/j.eneco.2023.106894","article-title":"Renewable energy use and export performance of manufacturing firms: Panel evidence from six industries in India","volume":"125","author":"Das","year":"2023","journal-title":"Energy Econ."},{"key":"10.1016\/j.swevo.2026.102460_b55","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108640","article-title":"Particle ranking: An efficient method for multi-objective particle swarm optimization feature selection","volume":"245","author":"Rashno","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.swevo.2026.102460_b56","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2023.106304","article-title":"Efficient multi-objective metaheuristic algorithm for sustainable harvest planning problem","volume":"158","author":"Fathollahi-Fard","year":"2023","journal-title":"Comput. Oper. Res."},{"issue":"4","key":"10.1016\/j.swevo.2026.102460_b57","doi-asserted-by":"crossref","first-page":"5142","DOI":"10.1109\/JSYST.2021.3135295","article-title":"Risk-averse multiobjective optimization for integrated electricity and heating system: An augment epsilon-constraint approach","volume":"16","author":"Si","year":"2022","journal-title":"IEEE Syst. J."},{"key":"10.1016\/j.swevo.2026.102460_b58","doi-asserted-by":"crossref","DOI":"10.1109\/TIA.2025.3571870","article-title":"Multi-objective der planning framework as a tep alternative: an augmented epsilon-constraint approach","author":"Saber","year":"2025","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"15","key":"10.1016\/j.swevo.2026.102460_b59","doi-asserted-by":"crossref","first-page":"3378","DOI":"10.1049\/rpg2.13143","article-title":"Intelligent parking lot power management: Augmented epsilon-constraint concept with correlation analysis","volume":"18","author":"Nosratabadi","year":"2024","journal-title":"IET Renew. Power Gener."}],"container-title":["Swarm and Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S221065022600180X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S221065022600180X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T03:54:19Z","timestamp":1783223659000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S221065022600180X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":59,"alternative-id":["S221065022600180X"],"URL":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102460","relation":{},"ISSN":["2210-6502"],"issn-type":[{"value":"2210-6502","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Medium-term low-carbon many-objective scheduling optimization of generation joint venture","name":"articletitle","label":"Article Title"},{"value":"Swarm and Evolutionary Computation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102460","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102460"}}