{"title":"一种监测装置放置的并行遗传算法","authors":"Nechunaeva Kseniya, R. Alexey","doi":"10.1109/SIBIRCON.2017.8109867","DOIUrl":null,"url":null,"abstract":"In this paper, we compare the performance of a simple Genetic Algorithm with a parallel island model GA for solving the monitoring devices placement problem. We have found that in addition to providing a speeding up through the use of parallel processing the island model GA finds better quality solutions in comparison with the simple GA.","PeriodicalId":135870,"journal":{"name":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A parallel genetic algorithm approach for monitoring devices placement\",\"authors\":\"Nechunaeva Kseniya, R. Alexey\",\"doi\":\"10.1109/SIBIRCON.2017.8109867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we compare the performance of a simple Genetic Algorithm with a parallel island model GA for solving the monitoring devices placement problem. We have found that in addition to providing a speeding up through the use of parallel processing the island model GA finds better quality solutions in comparison with the simple GA.\",\"PeriodicalId\":135870,\"journal\":{\"name\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBIRCON.2017.8109867\",\"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 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2017.8109867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel genetic algorithm approach for monitoring devices placement
In this paper, we compare the performance of a simple Genetic Algorithm with a parallel island model GA for solving the monitoring devices placement problem. We have found that in addition to providing a speeding up through the use of parallel processing the island model GA finds better quality solutions in comparison with the simple GA.