{"title":"孤岛遗传算法参数的合理取值有效地解决了分布式信息系统运行的稳定性问题","authors":"D. O. Yesikov, A. Ivutin","doi":"10.1109/MECO.2016.7525769","DOIUrl":null,"url":null,"abstract":"Use of island genetic algorithm for obtaining the rational (quasioptimum) solution of problems of ensuring stability of functioning of the distributed information systems is offered. An experimental inspection of efficiency of application of island genetic algorithm for the solution of problems of ensuring stability of functioning of the distributed information systems is carried out. The table of parameters of island genetic algorithm at the solution of problems of ensuring stability of functioning of the distributed information systems of various dimension is received experimentally, the providing greatest possible chances of obtaining the optimal solution of tasks.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rational values of parameters of island genetic algorithms for the effective solution of problems of ensuring stability of functioning of the distributed information systems\",\"authors\":\"D. O. Yesikov, A. Ivutin\",\"doi\":\"10.1109/MECO.2016.7525769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Use of island genetic algorithm for obtaining the rational (quasioptimum) solution of problems of ensuring stability of functioning of the distributed information systems is offered. An experimental inspection of efficiency of application of island genetic algorithm for the solution of problems of ensuring stability of functioning of the distributed information systems is carried out. The table of parameters of island genetic algorithm at the solution of problems of ensuring stability of functioning of the distributed information systems of various dimension is received experimentally, the providing greatest possible chances of obtaining the optimal solution of tasks.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"192 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rational values of parameters of island genetic algorithms for the effective solution of problems of ensuring stability of functioning of the distributed information systems
Use of island genetic algorithm for obtaining the rational (quasioptimum) solution of problems of ensuring stability of functioning of the distributed information systems is offered. An experimental inspection of efficiency of application of island genetic algorithm for the solution of problems of ensuring stability of functioning of the distributed information systems is carried out. The table of parameters of island genetic algorithm at the solution of problems of ensuring stability of functioning of the distributed information systems of various dimension is received experimentally, the providing greatest possible chances of obtaining the optimal solution of tasks.
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