{"title":"微流体优化问题中差分进化与遗传算法的类比及举例","authors":"I. Codreanu","doi":"10.1109/SMICND.2005.1558816","DOIUrl":null,"url":null,"abstract":"This paper analyses two optimization procedures: one based on genetic algorithms and the other on differential evolution. We apply these algorithms on a particular problem from the field of microfluidics in order to demonstrate how they can be used in design optimization. The improvement of the results, and also the simplicity and flexibility of the algorithms encourages us to suggest the use of these techniques in other problems from other areas in MEMS design","PeriodicalId":40779,"journal":{"name":"Teatro e Storia","volume":null,"pages":null},"PeriodicalIF":0.1000,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A parallel between differential evolution and genetic algorithms with exemplification in a microfluidics optimization problem\",\"authors\":\"I. Codreanu\",\"doi\":\"10.1109/SMICND.2005.1558816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyses two optimization procedures: one based on genetic algorithms and the other on differential evolution. We apply these algorithms on a particular problem from the field of microfluidics in order to demonstrate how they can be used in design optimization. The improvement of the results, and also the simplicity and flexibility of the algorithms encourages us to suggest the use of these techniques in other problems from other areas in MEMS design\",\"PeriodicalId\":40779,\"journal\":{\"name\":\"Teatro e Storia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2005-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Teatro e Storia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMICND.2005.1558816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"THEATER\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teatro e Storia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMICND.2005.1558816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"THEATER","Score":null,"Total":0}
A parallel between differential evolution and genetic algorithms with exemplification in a microfluidics optimization problem
This paper analyses two optimization procedures: one based on genetic algorithms and the other on differential evolution. We apply these algorithms on a particular problem from the field of microfluidics in order to demonstrate how they can be used in design optimization. The improvement of the results, and also the simplicity and flexibility of the algorithms encourages us to suggest the use of these techniques in other problems from other areas in MEMS design
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