{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T00:43:15Z","timestamp":1769301795659,"version":"3.49.0"},"reference-count":21,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T00:00:00Z","timestamp":1709683200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Liaoning Provincial Department of Transportation Scientific Research Project","award":["202318"],"award-info":[{"award-number":["202318"]}]},{"name":"Liaoning Provincial Department of Transportation Scientific Research Project","award":["202344"],"award-info":[{"award-number":["202344"]}]},{"name":"Liaoning Provincial Department of Transportation Scientific Research Project","award":["JYTMS20230038"],"award-info":[{"award-number":["JYTMS20230038"]}]},{"name":"Liaoning Provincial Department of Education Scientific Research Project","award":["202318"],"award-info":[{"award-number":["202318"]}]},{"name":"Liaoning Provincial Department of Education Scientific Research Project","award":["202344"],"award-info":[{"award-number":["202344"]}]},{"name":"Liaoning Provincial Department of Education Scientific Research Project","award":["JYTMS20230038"],"award-info":[{"award-number":["JYTMS20230038"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization problem. To address this issue, an improved dual-population genetic moth\u2013flame optimization (IDPGMFO) is proposed. Specifically, to obtain an appreciative solution of EV OCP, the design for a dual-population genetic mechanism integrated into moth\u2013flame optimization is provided. To enhance the global optimization performance, the adaptive nonlinear decreasing strategies with selection, crossover and mutation probability, as well as the weight coefficient, are also designed. Additionally, opposition-based learning (OBL) is also introduced simultaneously. The simulation results show that the proposed improvement strategies can effectively improve the global optimization performance. Obviously, more ideal optimization solution of the EV OCP optimization problem can be obtained by using IDPGMFO.<\/jats:p>","DOI":"10.3390\/a17030110","type":"journal-article","created":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T04:19:02Z","timestamp":1709785142000},"page":"110","update-policy":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Electric Vehicle Ordered Charging Planning Based on Improved Dual-Population Genetic Moth\u2013Flame Optimization"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0003-3253-5395","authenticated-orcid":false,"given":"Shuang","family":"Che","sequence":"first","affiliation":[{"name":"School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China"},{"name":"Liaoning Northeast Asia Travel Group Co., Ltd., Dalian 116021, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0003-1792-0498","authenticated-orcid":false,"given":"Yan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-7226-5900","authenticated-orcid":false,"given":"Longda","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, Dalian Jiaotong University, Dalian 116028, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-9900-8146","authenticated-orcid":false,"given":"Chuanfang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, Dalian Jiaotong University, Dalian 116028, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,6]]},"reference":[{"key":"ref_1","first-page":"1127","article-title":"Ortega-vazquez optimal operation of aggregated electric vehicle charging stations coupled with energy storage","volume":"12","author":"Mushfiqur","year":"2017","journal-title":"IET Gener. 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