分布式安全系统优化的遗传算法实现

2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2008-07-14 DOI:10.1109/CIMSA.2008.4595845

P. Bykovyy, Y. Pigovsky, V. Kochan, A. Sachenko, G. Markowsky, S. Aksoy

{"title":"分布式安全系统优化的遗传算法实现","authors":"P. Bykovyy, Y. Pigovsky, V. Kochan, A. Sachenko, G. Markowsky, S. Aksoy","doi":"10.1109/CIMSA.2008.4595845","DOIUrl":null,"url":null,"abstract":"This paper describes two algorithms for optimizing the design of distributed perimeter security systems. The first algorithm is a straightforward algorithm whose primary purpose is to help us formulate the problem formally. The second algorithm, is a genetic algorithm. Both algorithms were incorporated into a new module for our distributed security systems CAD software. Tests of the module show that it produced better solutions more quickly than any other algorithms that are known to us.","PeriodicalId":302812,"journal":{"name":"2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Genetic algorithm implementation for distributed security systems optimization\",\"authors\":\"P. Bykovyy, Y. Pigovsky, V. Kochan, A. Sachenko, G. Markowsky, S. Aksoy\",\"doi\":\"10.1109/CIMSA.2008.4595845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes two algorithms for optimizing the design of distributed perimeter security systems. The first algorithm is a straightforward algorithm whose primary purpose is to help us formulate the problem formally. The second algorithm, is a genetic algorithm. Both algorithms were incorporated into a new module for our distributed security systems CAD software. Tests of the module show that it produced better solutions more quickly than any other algorithms that are known to us.\",\"PeriodicalId\":302812,\"journal\":{\"name\":\"2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIMSA.2008.4595845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMSA.2008.4595845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

本文介绍了分布式周界安全系统优化设计的两种算法。第一个算法是一个简单的算法，其主要目的是帮助我们形式化地表述问题。第二种算法是遗传算法。这两种算法都被整合到分布式安全系统CAD软件的一个新模块中。对该模块的测试表明，它比我们已知的任何其他算法都能更快地产生更好的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Genetic algorithm implementation for distributed security systems optimization

This paper describes two algorithms for optimizing the design of distributed perimeter security systems. The first algorithm is a straightforward algorithm whose primary purpose is to help us formulate the problem formally. The second algorithm, is a genetic algorithm. Both algorithms were incorporated into a new module for our distributed security systems CAD software. Tests of the module show that it produced better solutions more quickly than any other algorithms that are known to us.

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

2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications

自引率

0.00%

发文量