{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:09:05Z","timestamp":1740103745753,"version":"3.37.3"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T00:00:00Z","timestamp":1605657600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"],"award-info":[{"award-number":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"],"award-info":[{"award-number":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"],"award-info":[{"award-number":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"],"award-info":[{"award-number":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Royal Society-Newton Advanced Fellowship","award":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"],"award-info":[{"award-number":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"]}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"],"award-info":[{"award-number":["LY19F030011","52077213","62003332","2018A030310671","EP\/N011074\/1","NA160342","720325"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2020,11,18]]},"abstract":"<jats:p>Resource saving has become an integral aspect of manufacturing in industry 4.0. This paper proposes a multisystem optimization (MSO) algorithm, inspired by implicit parallelism of heuristic methods, to solve an integrated production scheduling with resource saving problem in textile printing and dyeing. First, a real-world integrated production scheduling with resource saving is formulated as a multisystem optimization problem. Then, the MSO algorithm is proposed to solve multisystem optimization problems that consist of several coupled subsystems, and each of the subsystems may contain multiple objectives and multiple constraints. The proposed MSO algorithm is composed of within-subsystem evolution and cross-subsystem migration operators, and the former is to optimize each subsystem by excellent evolution operators and the later is to complete information sharing between multiple subsystems, to accelerate the global optimization of the whole system. Performance is tested on a set of multisystem benchmark functions and compared with improved NSGA-II and multiobjective multifactorial evolutionary algorithm (MO-MFEA). Simulation results show that the MSO algorithm is better than compared algorithms for the benchmark functions studied in this paper. Finally, the MSO algorithm is successfully applied to the proposed integrated production scheduling with resource saving problem, and the results show that MSO is a promising algorithm for the studied problem.<\/jats:p>","DOI":"10.1155\/2020\/8853735","type":"journal-article","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T23:35:12Z","timestamp":1605742512000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["Multisystem Optimization for an Integrated Production Scheduling with Resource Saving Problem in Textile Printing and Dyeing"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5099-1987","authenticated-orcid":true,"given":"Haiping","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinglin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang 315000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhile","family":"Yang","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Informatics, University of Leicester, Leicester, LE1 7RH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"doi-asserted-by":"publisher","key":"1","DOI":"10.1016\/j.cie.2019.01.025"},{"doi-asserted-by":"publisher","key":"2","DOI":"10.1016\/j.cie.2019.01.045"},{"issue":"1","key":"3","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1177\/0142331215600047","article-title":"An effective fireworks algorithm for warehouse-scheduling problem","volume":"39","author":"S. Ye","year":"2017","journal-title":"Transactions of the Institute of Measurement and Control"},{"issue":"11","key":"4","article-title":"An empirical study on solving an integrated production and distribution problem with a hybrid strategy","volume":"13","author":"F. Li","year":"2017","journal-title":"PloS One"},{"doi-asserted-by":"publisher","key":"5","DOI":"10.1016\/j.engappai.2015.05.009"},{"doi-asserted-by":"publisher","key":"6","DOI":"10.1016\/j.jclepro.2018.02.224"},{"doi-asserted-by":"publisher","key":"7","DOI":"10.1016\/j.compchemeng.2017.01.007"},{"doi-asserted-by":"publisher","key":"8","DOI":"10.1016\/j.compchemeng.2018.03.009"},{"unstructured":"AllisonJ.Complex System Optimization: A Review of Analytical Target Cascading, Collaborative Optimization, and Other Formulations2004Ann Arbor, MI, USAUniversity of MichiganM. S. Thesis","key":"9"},{"author":"J. Abell","first-page":"1","article-title":"A framework for multi-objective, biogeography-based optimization of complex system families","key":"10"},{"doi-asserted-by":"publisher","key":"11","DOI":"10.2514\/1.j051895"},{"doi-asserted-by":"publisher","key":"12","DOI":"10.1109\/tevc.2014.2373386"},{"issue":"6","key":"13","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: a multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Q. Zhang","year":"2007","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"6","key":"14","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1109\/TEVC.2017.2767023","article-title":"Coevolutionary multi-objective evolutionary algorithms: a survey of the state-of-the-art","volume":"22","author":"L. M. Antonio","year":"2018","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"7","key":"15","doi-asserted-by":"crossref","first-page":"1652","DOI":"10.1109\/TCYB.2016.2554622","article-title":"Multiobjective multifactorial optimization in evolutionary multitasking","volume":"47","author":"A. Gupta","year":"2016","journal-title":"IEEE Transactions on Cybernetics"},{"doi-asserted-by":"publisher","key":"16","DOI":"10.1007\/s12559-016-9395-7"},{"key":"17","article-title":"Complex system optimization using biogeography-based optimization","volume":"8","author":"D. Du","year":"2013","journal-title":"Mathematical Problems in Engineering"},{"doi-asserted-by":"publisher","key":"18","DOI":"10.1109\/tevc.2008.919004"},{"doi-asserted-by":"publisher","key":"19","DOI":"10.1109\/tcyb.2018.2871473"},{"doi-asserted-by":"publisher","key":"20","DOI":"10.1109\/tevc.2015.2504383"},{"doi-asserted-by":"publisher","key":"21","DOI":"10.1109\/4235.996017"},{"doi-asserted-by":"publisher","key":"22","DOI":"10.1109\/3477.956035"},{"unstructured":"YuanY.OngY. S.FengL.Evolutionary multitasking for multiobjective continuous optimization: benchmark problems, performance metrics and baseline results2016Ithaca, NY, USACornell University110Technical Report","key":"23"},{"doi-asserted-by":"publisher","key":"24","DOI":"10.1007\/s10489-018-1263-6"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/8853735.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/8853735.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/8853735.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T23:35:24Z","timestamp":1605742524000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/complexity\/2020\/8853735\/"}},"subtitle":[],"editor":[{"given":"Shi","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2020,11,18]]},"references-count":24,"alternative-id":["8853735","8853735"],"URL":"https:\/\/doi.org\/10.1155\/2020\/8853735","relation":{},"ISSN":["1099-0526","1076-2787"],"issn-type":[{"type":"electronic","value":"1099-0526"},{"type":"print","value":"1076-2787"}],"subject":[],"published":{"date-parts":[[2020,11,18]]}}}