{"title":"基于模拟退火的光正交码设计遗传算法的改进","authors":"C. Ho, Y. P. Singh, Sze Wei Lee","doi":"10.1109/CEC.2002.1006276","DOIUrl":null,"url":null,"abstract":"The simulated annealing (SA) method is applied to the initial population of a genetic algorithm (GA) that was designed to construct optical orthogonal codes. This has improved the quality of the initial population, with an increase in the average fitness value and the number of above-average individuals. This in turn, has enabled the genetic algorithm to converge faster.","PeriodicalId":184547,"journal":{"name":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","volume":"340 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Enhancement of a genetic algorithm for optical orthogonal code design using simulated annealing\",\"authors\":\"C. Ho, Y. P. Singh, Sze Wei Lee\",\"doi\":\"10.1109/CEC.2002.1006276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The simulated annealing (SA) method is applied to the initial population of a genetic algorithm (GA) that was designed to construct optical orthogonal codes. This has improved the quality of the initial population, with an increase in the average fitness value and the number of above-average individuals. This in turn, has enabled the genetic algorithm to converge faster.\",\"PeriodicalId\":184547,\"journal\":{\"name\":\"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)\",\"volume\":\"340 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2002.1006276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2002.1006276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancement of a genetic algorithm for optical orthogonal code design using simulated annealing
The simulated annealing (SA) method is applied to the initial population of a genetic algorithm (GA) that was designed to construct optical orthogonal codes. This has improved the quality of the initial population, with an increase in the average fitness value and the number of above-average individuals. This in turn, has enabled the genetic algorithm to converge faster.