模拟退火的通用分布式实现

Ralf Diekmann, Reinhard Lüling, J. Simon
{"title":"模拟退火的通用分布式实现","authors":"Ralf Diekmann, Reinhard Lüling, J. Simon","doi":"10.1109/SPDP.1992.242758","DOIUrl":null,"url":null,"abstract":"The authors present a problem-independent general-purpose parallel implementation of simulated annealing (SA) on distributed message-passing multiprocessor systems. The sequential algorithm is studied, and a classification of combinatorial optimization problems together with their neighborhood structures is given. Several parallelization approaches are examined, considering their suitability for problems of the various classes. For typical representatives of the different classes, good parallel SA implementations are presented. A novel parallel SA algorithm that works simultaneously on several Markov chains and decreases the number of chains dynamically is presented. This method yields good results with a parallel self-adapting cooling schedule. All algorithms are implemented in OCCAM-2 on a free configurable transputer system. Measurements on various numbers of processors up to 128 transputers are presented.<<ETX>>","PeriodicalId":265469,"journal":{"name":"[1992] Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A general purpose distributed implementation of simulated annealing\",\"authors\":\"Ralf Diekmann, Reinhard Lüling, J. Simon\",\"doi\":\"10.1109/SPDP.1992.242758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a problem-independent general-purpose parallel implementation of simulated annealing (SA) on distributed message-passing multiprocessor systems. The sequential algorithm is studied, and a classification of combinatorial optimization problems together with their neighborhood structures is given. Several parallelization approaches are examined, considering their suitability for problems of the various classes. For typical representatives of the different classes, good parallel SA implementations are presented. A novel parallel SA algorithm that works simultaneously on several Markov chains and decreases the number of chains dynamically is presented. This method yields good results with a parallel self-adapting cooling schedule. All algorithms are implemented in OCCAM-2 on a free configurable transputer system. Measurements on various numbers of processors up to 128 transputers are presented.<<ETX>>\",\"PeriodicalId\":265469,\"journal\":{\"name\":\"[1992] Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPDP.1992.242758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPDP.1992.242758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

在分布式消息传递多处理器系统上,提出了一种与问题无关的通用并行模拟退火算法(SA)。研究了序列优化算法,给出了组合优化问题及其邻域结构的分类。考察了几种并行化方法,考虑了它们对各种类问题的适用性。对于不同类的典型代表,给出了良好的并行SA实现。提出了一种同时处理多条马尔可夫链并动态减少链数的并行SA算法。该方法采用并行自适应冷却方案,效果良好。所有的算法都是在OCCAM-2中在一个自由配置的转发器系统上实现的。对不同数量的处理器进行了测量,最多可达128个转发器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A general purpose distributed implementation of simulated annealing
The authors present a problem-independent general-purpose parallel implementation of simulated annealing (SA) on distributed message-passing multiprocessor systems. The sequential algorithm is studied, and a classification of combinatorial optimization problems together with their neighborhood structures is given. Several parallelization approaches are examined, considering their suitability for problems of the various classes. For typical representatives of the different classes, good parallel SA implementations are presented. A novel parallel SA algorithm that works simultaneously on several Markov chains and decreases the number of chains dynamically is presented. This method yields good results with a parallel self-adapting cooling schedule. All algorithms are implemented in OCCAM-2 on a free configurable transputer system. Measurements on various numbers of processors up to 128 transputers are presented.<>
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
×
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