A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problem

E. Osaba, F. Díaz, R. Carballedo, Idoia De-la-Iglesia, E. Onieva, A. Perallos
{"title":"A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problem","authors":"E. Osaba, F. Díaz, R. Carballedo, Idoia De-la-Iglesia, E. Onieva, A. Perallos","doi":"10.1145/2598394.2602268","DOIUrl":null,"url":null,"abstract":"This paper examines the influence of neutral crossover operators in a genetic algorithm (GA) applied to the one-dimensional bin packing problem. In the experimentation 16 benchmark instances have been used and the results obtained by three different GAs are compared with the ones obtained by an evolutionary algorithm (EA). The aim of this work is to determine whether an EA (with no crossover functions) can perform similarly to a GA.","PeriodicalId":298232,"journal":{"name":"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2598394.2602268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper examines the influence of neutral crossover operators in a genetic algorithm (GA) applied to the one-dimensional bin packing problem. In the experimentation 16 benchmark instances have been used and the results obtained by three different GAs are compared with the ones obtained by an evolutionary algorithm (EA). The aim of this work is to determine whether an EA (with no crossover functions) can perform similarly to a GA.
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
遗传算法中中立交叉算子在装箱问题中的有效性研究
研究了中性交叉算子对遗传算法求解一维装箱问题的影响。在实验中使用了16个基准实例,并将三种不同的GAs得到的结果与进化算法(EA)得到的结果进行了比较。这项工作的目的是确定EA(没有交叉函数)是否可以执行类似于GA。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Evolutionary synthesis of dynamical systems: the past, current, and future Incremental evolution of HERCL programs for robust control Selecting evolutionary operators using reinforcement learning: initial explorations Flood evolution: changing the evolutionary substrate from a path of stepping stones to a field of rocks Artificial immune systems for optimisation
×
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