一种新的基于多智能体的遗传算法研究

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1167398

H. Deng, Yuejin Tan, Ji Li

{"title":"一种新的基于多智能体的遗传算法研究","authors":"H. Deng, Yuejin Tan, Ji Li","doi":"10.1109/ICMLC.2002.1167398","DOIUrl":null,"url":null,"abstract":"Through the analysis and studying of the simple genetic algorithm (SGA) and its research state, the authors suggest a new multiagent-based genetic algorithm, define the environment of SGA, present the agent structure, genetic operator, target/evaluation function, and flow chat. Finally, they verify this new GA with two test functions. The results show that this new GA have many merits and advantages.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"37 1","pages":"1237-1240 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The study of a new multiagent-based genetic algorithm\",\"authors\":\"H. Deng, Yuejin Tan, Ji Li\",\"doi\":\"10.1109/ICMLC.2002.1167398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Through the analysis and studying of the simple genetic algorithm (SGA) and its research state, the authors suggest a new multiagent-based genetic algorithm, define the environment of SGA, present the agent structure, genetic operator, target/evaluation function, and flow chat. Finally, they verify this new GA with two test functions. The results show that this new GA have many merits and advantages.\",\"PeriodicalId\":90702,\"journal\":{\"name\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"volume\":\"37 1\",\"pages\":\"1237-1240 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2002.1167398\",\"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. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1167398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

通过对简单遗传算法(simple genetic algorithm, SGA)及其研究现状的分析和研究，提出了一种新的基于多agent的遗传算法，定义了SGA的环境，给出了agent结构、遗传算子、目标/评价函数和流聊天。最后，他们用两个测试函数验证了这个新的遗传算法。结果表明，该遗传算法具有许多优点和优点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The study of a new multiagent-based genetic algorithm

Through the analysis and studying of the simple genetic algorithm (SGA) and its research state, the authors suggest a new multiagent-based genetic algorithm, define the environment of SGA, present the agent structure, genetic operator, target/evaluation function, and flow chat. Finally, they verify this new GA with two test functions. The results show that this new GA have many merits and advantages.

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

Proceedings. International Conference on Machine Learning and Cybernetics

自引率

0.00%

发文量