{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T22:25:24Z","timestamp":1777587924081,"version":"3.51.4"},"reference-count":34,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2015,4,23]],"date-time":"2015-04-23T00:00:00Z","timestamp":1429747200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>The multiobjective evolutionary algorithm based on decomposition (MOEA\/D) has received attention from researchers in recent years. This paper presents a new multiobjective algorithm based on decomposition and the cloud model called multiobjective decomposition evolutionary algorithm based on Cloud Particle Differential Evolution (MOEA\/D-CPDE). In the proposed method, the best solution found so far acts as a seed in each generation and evolves two individuals by cloud generator. A new individual is produced by updating the current individual with the position vector difference of these two individuals. The performance of the proposed algorithm is carried on 16 well-known multi-objective problems. The experimental results indicate that MOEA\/D-CPDE is competitive.<\/jats:p>","DOI":"10.3390\/a8020157","type":"journal-article","created":{"date-parts":[[2015,4,23]],"date-time":"2015-04-23T11:40:29Z","timestamp":1429789229000},"page":"157-176","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Multiobjective Cloud Particle Optimization Algorithm Based on Decomposition"],"prefix":"10.3390","volume":"8","author":[{"given":"Wei","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiaoyong","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinhong","family":"Hei","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory for Network Computing and Security Technology, Xi'an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,4,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wu, X., Jain, L., Gra\u00f1a, M., Duro, R.J., d\u2019Anjou, A., and Wang, P.P. 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