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To adapt to the user\u2019s requirements for product personalization and diversification, and continuously expand the space for product innovation, this paper proposes an intelligent product design method. Traditional design theory is creatively combined with the proposed model to achieve the intended goal. The application models of two interactive genetic algorithms based on the compound fitness allocation strategy (HFAS) and the graded fitness allocation strategy are proposed, and the parameters of the compound fitness allocation strategy are analyzed. A case study of the proposed model is implemented, and two methods of Full Permutation and fuzzy evaluation are applied to evaluate the design results.<\/jats:p>","DOI":"10.3233\/jifs-179064","type":"journal-article","created":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T13:45:23Z","timestamp":1554212723000},"page":"63-70","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Intelligent system for products personalization and design using genetic algorithm"],"prefix":"10.1177","volume":"37","author":[{"given":"Song","family":"Xue","sequence":"first","affiliation":[{"name":"School of Media and Art Design, Wuhan Donghu University, Wuhan, Hubei, 430212, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,4]]},"reference":[{"issue":"1","key":"e_1_3_1_2_2","first-page":"64","article-title":"Consumers\u2019 perception-oriented product form design using multiple regression analysis and backpropagation neural network.","volume":"30","author":"Chen H.Y.","year":"2016","unstructured":"H.Y.Chen and H.C.Chang, Consumers\u2019 perception-oriented product form design using multiple regression analysis and backpropagation neural network.AI EDAM: Artificial intelligence for engineering design, Analysis and Manufacturing30(1) (2016), 64\u201377.","journal-title":"AI EDAM: Artificial intelligence for engineering design, Analysis and Manufacturing"},{"issue":"25","key":"e_1_3_1_3_2","first-page":"44","article-title":"Application and Consideration to Boeing 787 Influenced by Artificial Intelligence","volume":"12","author":"Zhang X.M.","year":"2017","unstructured":"X.M.Zhang, Y.U.Zi-Wu and Y.Q.Yang, Application and Consideration to Boeing 787 Influenced by Artificial Intelligence, Industrial Engineering & Management12(25) (2017), 44\u201348.","journal-title":"Industrial Engineering & Management"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2015.12.005"},{"issue":"4","key":"e_1_3_1_5_2","first-page":"424","article-title":"Automatic generation of design structure matrices through the evolution of product models AI EDAM: Artificial intelligence for engineering design","volume":"30","author":"Chris M.M.","year":"2016","unstructured":"M.M.Chris, Y.Liu and M.A.Daniel, Automatic generation of design structure matrices through the evolution of product models AI EDAM: Artificial intelligence for engineering design, Analysis and Manufacturing30(4) (2016), 424\u2013445.","journal-title":"Analysis and Manufacturing"},{"issue":"12","key":"e_1_3_1_6_2","first-page":"558","article-title":"Multi-disciplinary Trends in Artificial Intelligence: 9th International Workshop, MIWAI 2015, Fuzhou, China, November","volume":"8271","author":"Bikakis A.","year":"2016","unstructured":"A.Bikakis, X.Zheng, Multi-disciplinary Trends in Artificial Intelligence: 9th International Workshop, MIWAI 2015, Fuzhou, China, November, Proceedings. 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