T. Taengtang, Witthaya Sitthivet, K. Paithoonwattanakij
{"title":"Fermicidae swarm system","authors":"T. Taengtang, Witthaya Sitthivet, K. Paithoonwattanakij","doi":"10.1109/ICITEED.2013.6676224","DOIUrl":null,"url":null,"abstract":"Improved an ant colony by firefly algorithm, in this paper is proposed the method that is interwoven between ant colony optimization and firefly algorithm to increase efficiency of solving the traveling salesmen problem it is called that Fermicidae swarm system (FSS). It uses relationship between pheromone and distance which is attractiveness and absorption coefficient. This method is based on ant colony optimization which state transition rule of ant colony is improved by adding detection, which is a condition of distances. The performance of FSS is divided into two parts: the speed and tour length of a result. A speedy result of FSS is faster than ACS and tour length of FSS is near the best result.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2013.6676224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Improved an ant colony by firefly algorithm, in this paper is proposed the method that is interwoven between ant colony optimization and firefly algorithm to increase efficiency of solving the traveling salesmen problem it is called that Fermicidae swarm system (FSS). It uses relationship between pheromone and distance which is attractiveness and absorption coefficient. This method is based on ant colony optimization which state transition rule of ant colony is improved by adding detection, which is a condition of distances. The performance of FSS is divided into two parts: the speed and tour length of a result. A speedy result of FSS is faster than ACS and tour length of FSS is near the best result.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
