An Investigation on Tabu Search Algorithms Optimization

N. Subash, M. Ramachandran, Vimala Saravanan, Vidhya Prasanth
{"title":"An Investigation on Tabu Search Algorithms Optimization","authors":"N. Subash, M. Ramachandran, Vimala Saravanan, Vidhya Prasanth","doi":"10.46632/1/1/3","DOIUrl":null,"url":null,"abstract":": Tabu Search is one of the local search methods used for mathematical optimization Metaheuristics search method. It was founded in 1986 by Fred W. Developed by Clover and in 1989 Formalized. Local (nearby) searches take a potential solution to a problem and its immediate neighbor Check countries (i.e., similar solutions except for very small details). Improved solution Diagnosis. Local search methods on plateaus where subdivisions or multiple solutions are equally applicable Tend to get entangled. Tabu Search is the local search by relaxing its basic rule Improves performance. First, any moves that get worse with each step Will be accepted if not upgraded (if the search is stuck in a strict local minimum). In addition, obstacles (hereinafter referred to as taboo) prevent the return to previously visited solutions Introduced in the category. The implementation of the tab search, the solutions visited or the user Uses memory systems that describe sets of rules provided. [2] A certain short If the possible solution within the period has been visited before or if it violates a rule, it is Will be referred to as \"taboo\" (blocked) so that the algorithm does not reconsider that possibility.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrical and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46632/1/1/3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

: Tabu Search is one of the local search methods used for mathematical optimization Metaheuristics search method. It was founded in 1986 by Fred W. Developed by Clover and in 1989 Formalized. Local (nearby) searches take a potential solution to a problem and its immediate neighbor Check countries (i.e., similar solutions except for very small details). Improved solution Diagnosis. Local search methods on plateaus where subdivisions or multiple solutions are equally applicable Tend to get entangled. Tabu Search is the local search by relaxing its basic rule Improves performance. First, any moves that get worse with each step Will be accepted if not upgraded (if the search is stuck in a strict local minimum). In addition, obstacles (hereinafter referred to as taboo) prevent the return to previously visited solutions Introduced in the category. The implementation of the tab search, the solutions visited or the user Uses memory systems that describe sets of rules provided. [2] A certain short If the possible solution within the period has been visited before or if it violates a rule, it is Will be referred to as "taboo" (blocked) so that the algorithm does not reconsider that possibility.
禁忌搜索算法优化研究
禁忌搜索是用于数学优化的局部搜索方法之一。元启发式搜索方法。它由Fred W.于1986年创立,由Clover开发,并于1989年正式成立。本地(附近)搜索获取问题的潜在解决方案及其近邻Check国家(即,除了非常小的细节之外的类似解决方案)。改进的解决方案诊断。在细分或多个解同样适用的高原上,局部搜索方法容易产生纠缠。禁忌搜索是通过放宽其基本规则的局部搜索来提高性能。首先,如果不升级(如果搜索陷入严格的局部最小值),那么每一步变得更糟的任何移动都将被接受。此外,障碍(以下简称禁忌)阻止返回到以前访问的解决方案中介绍的类别。实现选项卡搜索、访问的解决方案或用户使用的内存系统提供的描述规则集。[2]如果在此期间可能的解决方案之前已经被访问过,或者如果它违反了规则,它将被称为“禁忌”(阻止),这样算法就不会重新考虑这种可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信