{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T08:33:03Z","timestamp":1762504383111,"version":"3.41.2"},"reference-count":31,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T00:00:00Z","timestamp":1615939200000},"content-version":"vor","delay-in-days":75,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51909199","51709215"],"award-info":[{"award-number":["51909199","51709215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>The economical\/environmental scheduling problem (EESP) of the ship integrated energy system (SIES) has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system (SEMS) online, which has limited computing power and storage space. Aiming at realizing green computing on SEMS, in this paper a typical SIES\u2010EESP optimization model is built, considering the form of decision vectors, the economical\/environmental optimization objectives, and various types of real\u2010world constraints of the SIES. Based on the complexity of SIES\u2010EESPs, a two\u2010stage offline\u2010to\u2010online multiobjective optimization strategy for SIES\u2010EESP is proposed, which transfers part of the energy dispatch online computing task to the offline high\u2010performance computer systems. The specific constraints handling methods are designed to reduce both continuous and discrete constraints violations of SIES\u2010EESPs. Then, an establishment method of energy scheduling scheme\u2010base is proposed. By using the big data offline, the economical\/environmental scheduling solutions of a typical year can be obtained and stored with more computing resources and operation time on land. Thereafter, a short\u2010term multiobjective offline\u2010to\u2010online optimization approach by SEMS is considered, with the application of multiobjective evolutionary algorithm (MOEA) and typical schemes corresponding to the actual SIES\u2010EESPs. Simulation results show that the proposed strategy can obtain enough feasible Pareto solutions in a shorter time and get well\u2010distributed Pareto sets with better convergence performance, which can well adapt to the features of real\u2010world SIES\u2010EESPs and save plenty of operation time and storage space for the SEMS.<\/jats:p>","DOI":"10.1155\/2021\/6686563","type":"journal-article","created":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T23:35:08Z","timestamp":1616024108000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Two\u2010Stage Offline\u2010to\u2010Online Multiobjective Optimization Strategy for Ship Integrated Energy System Economical\/ Environmental Scheduling Problem"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3219-2591","authenticated-orcid":false,"given":"Qing","family":"An","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4314-1957","authenticated-orcid":false,"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2751-9796","authenticated-orcid":false,"given":"Xin","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6985-3536","authenticated-orcid":false,"given":"Xiaobing","family":"Mao","sequence":"additional","affiliation":[]},{"given":"Yulong","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6376-0184","authenticated-orcid":false,"given":"Xiaodi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ruoli","family":"Tang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3302-3228","authenticated-orcid":false,"given":"Hongfeng","family":"Su","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,3,17]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_9_1_2","DOI":"10.1016\/j.solener.2018.06.033"},{"doi-asserted-by":"publisher","key":"e_1_2_9_2_2","DOI":"10.1016\/j.measurement.2018.02.002"},{"doi-asserted-by":"publisher","key":"e_1_2_9_3_2","DOI":"10.1016\/j.oceaneng.2018.03.062"},{"doi-asserted-by":"publisher","key":"e_1_2_9_4_2","DOI":"10.1016\/j.oceaneng.2018.03.024"},{"doi-asserted-by":"publisher","key":"e_1_2_9_5_2","DOI":"10.1109\/TPWRS.2020.3039538"},{"key":"e_1_2_9_6_2","article-title":"Robust coordination of A hybrid AC\/DC multi-energy ship microgrid with flexible voyage and thermal loads","volume":"99","author":"Li Z.","year":"2020","journal-title":"IEEE Transactions on Smart Grid"},{"doi-asserted-by":"publisher","key":"e_1_2_9_7_2","DOI":"10.1109\/tia.2019.2956720"},{"doi-asserted-by":"publisher","key":"e_1_2_9_8_2","DOI":"10.1016\/j.oceaneng.2019.05.053"},{"doi-asserted-by":"publisher","key":"e_1_2_9_9_2","DOI":"10.1016\/j.energy.2019.116542"},{"doi-asserted-by":"publisher","key":"e_1_2_9_10_2","DOI":"10.1016\/j.ijepes.2019.105600"},{"doi-asserted-by":"publisher","key":"e_1_2_9_11_2","DOI":"10.1049\/iet-rpg.2019.0882"},{"doi-asserted-by":"publisher","key":"e_1_2_9_12_2","DOI":"10.2478\/pomr-2020-0004"},{"doi-asserted-by":"crossref","unstructured":"OurouaA. 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