A Solution of Irregular Parts Nesting Problem Based on Immune Genetic Algorithm

Lidong Liang, Jiawei Ye
{"title":"A Solution of Irregular Parts Nesting Problem Based on Immune Genetic Algorithm","authors":"Lidong Liang, Jiawei Ye","doi":"10.1109/ISCID.2008.25","DOIUrl":null,"url":null,"abstract":"A novel solution for two dimension irregular parts nesting with immune genetic algorithm (IGA) was presented, which overcome the shortages of premature constringency and low efficiency existing in genetic algorithms (GA). IGA introduced immune memory and concentration mechanism to improve searching speed and the ability of keeping the diversity of population. The method combined with remaining rectangle matching and orthogonal accessing algorithm to realize automatic nesting of irregular parts. Its effectiveness has been fairly proved in solving irregular parts nesting problem.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"35 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2008.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

A novel solution for two dimension irregular parts nesting with immune genetic algorithm (IGA) was presented, which overcome the shortages of premature constringency and low efficiency existing in genetic algorithms (GA). IGA introduced immune memory and concentration mechanism to improve searching speed and the ability of keeping the diversity of population. The method combined with remaining rectangle matching and orthogonal accessing algorithm to realize automatic nesting of irregular parts. Its effectiveness has been fairly proved in solving irregular parts nesting problem.
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
基于免疫遗传算法的不规则零件嵌套问题求解
提出了一种利用免疫遗传算法求解二维不规则零件嵌套问题的新方法,克服了遗传算法存在的过早收敛和效率低的缺点。IGA引入了免疫记忆和集中机制,提高了搜索速度和保持种群多样性的能力。该方法结合剩余矩形匹配和正交访问算法,实现了不规则零件的自动嵌套。该方法在求解不规则零件排料问题中的有效性已得到充分证明。
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
Shape and Boundary Analysis for Classification of Breast Masses Novel Approach for Recognizing Bridges over Water in Large Remote Sensing Images Data Mining in Corporate Governance: Ownership Structure, Structure of Board of Directors and Firm Performance Improving the Performance of the Pareto Fitness Genetic Algorithm for Multi-Objective Discrete Optimization Urinary Sediment Overlapping Cells Image Segmentation Based on Combination Strategy
×
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:604180095
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