{"title":"基于进化计算的系统可靠性冗余分配","authors":"M. Mellal, E. Zio","doi":"10.1109/ICSRS.2017.8272790","DOIUrl":null,"url":null,"abstract":"This paper addresses the system reliability-redundancy allocation problem by resorting to three evolutionary computation methods, namely genetic algorithm, cuckoo optimization algorithm with penalty function, and penalty guided stochastic fractal search. The numerical results are compared in order to highlight the differences in the solution methods.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"System reliability-redundancy allocation by evolutionary computation\",\"authors\":\"M. Mellal, E. Zio\",\"doi\":\"10.1109/ICSRS.2017.8272790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the system reliability-redundancy allocation problem by resorting to three evolutionary computation methods, namely genetic algorithm, cuckoo optimization algorithm with penalty function, and penalty guided stochastic fractal search. The numerical results are compared in order to highlight the differences in the solution methods.\",\"PeriodicalId\":161789,\"journal\":{\"name\":\"2017 2nd International Conference on System Reliability and Safety (ICSRS)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference on System Reliability and Safety (ICSRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSRS.2017.8272790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSRS.2017.8272790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System reliability-redundancy allocation by evolutionary computation
This paper addresses the system reliability-redundancy allocation problem by resorting to three evolutionary computation methods, namely genetic algorithm, cuckoo optimization algorithm with penalty function, and penalty guided stochastic fractal search. The numerical results are compared in order to highlight the differences in the solution methods.