H. Kajiwara, T. Hiroyasu, M. Miki, Akira Hashimoto
{"title":"基于遗传算法和ESO方法的拓扑结构优化","authors":"H. Kajiwara, T. Hiroyasu, M. Miki, Akira Hashimoto","doi":"10.1299/jsmeoptis.2006.7.167","DOIUrl":null,"url":null,"abstract":"To design a more economical structural form, it is necessary to optimize both the topology and shape of structures. To optimize topology, we propose a hybrid of Genetic Algorithm (GA) and Evolutionary Structural Optimization (ESO). This paper describes the considerations in applying the proposed method to topology structural optimization. Through numerical examples, the proposed method showed better search ability than GA or ESO methods alone. Moreover, this hybrid method makes it possible to design a more economical structural form.","PeriodicalId":107309,"journal":{"name":"International Conference on Climate Informatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Topology structural optimization using a hybrid of GA and ESO methods\",\"authors\":\"H. Kajiwara, T. Hiroyasu, M. Miki, Akira Hashimoto\",\"doi\":\"10.1299/jsmeoptis.2006.7.167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To design a more economical structural form, it is necessary to optimize both the topology and shape of structures. To optimize topology, we propose a hybrid of Genetic Algorithm (GA) and Evolutionary Structural Optimization (ESO). This paper describes the considerations in applying the proposed method to topology structural optimization. Through numerical examples, the proposed method showed better search ability than GA or ESO methods alone. Moreover, this hybrid method makes it possible to design a more economical structural form.\",\"PeriodicalId\":107309,\"journal\":{\"name\":\"International Conference on Climate Informatics\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Climate Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1299/jsmeoptis.2006.7.167\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Climate Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1299/jsmeoptis.2006.7.167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Topology structural optimization using a hybrid of GA and ESO methods
To design a more economical structural form, it is necessary to optimize both the topology and shape of structures. To optimize topology, we propose a hybrid of Genetic Algorithm (GA) and Evolutionary Structural Optimization (ESO). This paper describes the considerations in applying the proposed method to topology structural optimization. Through numerical examples, the proposed method showed better search ability than GA or ESO methods alone. Moreover, this hybrid method makes it possible to design a more economical structural form.