改进的实编码遗传算法

2009 International Conference on Networks Security, Wireless Communications and Trusted Computing Pub Date : 2009-04-25 DOI:10.1109/NSWCTC.2009.335

J. An, Hai-juan Jin, Chaohun Liu

{"title":"改进的实编码遗传算法","authors":"J. An, Hai-juan Jin, Chaohun Liu","doi":"10.1109/NSWCTC.2009.335","DOIUrl":null,"url":null,"abstract":"To solve the slow convergence rate and local convergence of Simple Genetic Algorithm, an improved genetic algorithm (IGA) with real-coding, elite reservation, 2/4competitive choosing and adaptive genetic strategy is proposed. The experiment shows that the improved algorithm is more effective in realizing the global optimization and promoting evolution efficiency.","PeriodicalId":433291,"journal":{"name":"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Improved Real-coding Genetic Algorithm\",\"authors\":\"J. An, Hai-juan Jin, Chaohun Liu\",\"doi\":\"10.1109/NSWCTC.2009.335\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve the slow convergence rate and local convergence of Simple Genetic Algorithm, an improved genetic algorithm (IGA) with real-coding, elite reservation, 2/4competitive choosing and adaptive genetic strategy is proposed. The experiment shows that the improved algorithm is more effective in realizing the global optimization and promoting evolution efficiency.\",\"PeriodicalId\":433291,\"journal\":{\"name\":\"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSWCTC.2009.335\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSWCTC.2009.335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

针对简单遗传算法收敛速度慢和局部收敛的问题，提出了一种具有实数编码、精英保留、2/4竞争选择和自适应遗传策略的改进遗传算法(IGA)。实验表明，改进后的算法在实现全局优化和提高进化效率方面更加有效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Improved Real-coding Genetic Algorithm

To solve the slow convergence rate and local convergence of Simple Genetic Algorithm, an improved genetic algorithm (IGA) with real-coding, elite reservation, 2/4competitive choosing and adaptive genetic strategy is proposed. The experiment shows that the improved algorithm is more effective in realizing the global optimization and promoting evolution efficiency.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 International Conference on Networks Security, Wireless Communications and Trusted Computing

自引率

0.00%

发文量

期刊最新文献

Hybrid Protocol for Password-Based Key Exchange in Three-party Setting A Range Query Model Based on DHT in P2P System Energy Minimization for Broadcasting Message in Wireless Sensor Networks Energy-aware AODV Routing for Ad Hoc Networks Improved Block Soft Feedback Equalization Based on Sequence Detection