基于改进译码函数和跳变运算的动态搜索编码算法

Nam-Geun Kim, J. Yun, Sang Woo Kim
{"title":"基于改进译码函数和跳变运算的动态搜索编码算法","authors":"Nam-Geun Kim, J. Yun, Sang Woo Kim","doi":"10.1109/ICNC.2007.358","DOIUrl":null,"url":null,"abstract":"In this paper, two techniques are proposed for globalizing and accelerating the dynamic encoding algorithm for searches (DEAS) method which is developed within the framework of applying the binary representation in optimization and modified for global search using a multi-start approach. These techniques make DEAS fitted better to global optimization than the previously developed ones. The results of numerical simulations show that the proposed techniques are effective in discontinuous and multimodal cost functions.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancement of Dynamic Encoding Algorithm for Searches (DEAS) via Modified Decoding Function and Hopping Operation\",\"authors\":\"Nam-Geun Kim, J. Yun, Sang Woo Kim\",\"doi\":\"10.1109/ICNC.2007.358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, two techniques are proposed for globalizing and accelerating the dynamic encoding algorithm for searches (DEAS) method which is developed within the framework of applying the binary representation in optimization and modified for global search using a multi-start approach. These techniques make DEAS fitted better to global optimization than the previously developed ones. The results of numerical simulations show that the proposed techniques are effective in discontinuous and multimodal cost functions.\",\"PeriodicalId\":250881,\"journal\":{\"name\":\"Third International Conference on Natural Computation (ICNC 2007)\",\"volume\":\"194 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Natural Computation (ICNC 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2007.358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Natural Computation (ICNC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2007.358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了两种全球化和加速搜索动态编码算法(DEAS)的技术,该方法是在应用二进制表示进行优化的框架下开发的,并使用多起点方法对其进行了改进。这些技术使得dea比以前开发的方法更适合全局优化。数值模拟结果表明,所提出的方法对不连续和多模态代价函数是有效的。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enhancement of Dynamic Encoding Algorithm for Searches (DEAS) via Modified Decoding Function and Hopping Operation
In this paper, two techniques are proposed for globalizing and accelerating the dynamic encoding algorithm for searches (DEAS) method which is developed within the framework of applying the binary representation in optimization and modified for global search using a multi-start approach. These techniques make DEAS fitted better to global optimization than the previously developed ones. The results of numerical simulations show that the proposed techniques are effective in discontinuous and multimodal cost functions.
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
自引率
0.00%
发文量
0
期刊最新文献
Emotional Evaluation of Color Patterns Based on Rough Sets Uniqueness of Linear Combinations of Ridge Functions PID Neural Network Temperature Control System in Plastic Injecting-moulding Machine The Study of Membrane Fouling Modeling Method Based on Wavelet Neural Network for Sewage Treatment Membrane Bioreactor Simulation and Research of the PCB Vias Effects
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1