{"title":"一种改进的萤火虫算法的设计与仿真","authors":"Chang Liu, Feng Gao, Na Jin","doi":"10.1109/CSO.2014.13","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of slow convergence of the basic firefly algorithm, a modified method was proposed. In the modified firefly algorithm, the parameters of the algorithm can be adjusted adaptively according to the lightness variance of the firefly population. And the random movement step can be determined in accordance with the distance of two fly flies. Meanwhile, the method of autonomous flight was also proposed to improve the performance of the basic algorithm. The performance of the modified firefly algorithm was proved though simulation experiments.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Design and Simulation of a Modified Firefly Algorithm\",\"authors\":\"Chang Liu, Feng Gao, Na Jin\",\"doi\":\"10.1109/CSO.2014.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem of slow convergence of the basic firefly algorithm, a modified method was proposed. In the modified firefly algorithm, the parameters of the algorithm can be adjusted adaptively according to the lightness variance of the firefly population. And the random movement step can be determined in accordance with the distance of two fly flies. Meanwhile, the method of autonomous flight was also proposed to improve the performance of the basic algorithm. The performance of the modified firefly algorithm was proved though simulation experiments.\",\"PeriodicalId\":174800,\"journal\":{\"name\":\"2014 Seventh International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2014.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2014.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Simulation of a Modified Firefly Algorithm
In order to solve the problem of slow convergence of the basic firefly algorithm, a modified method was proposed. In the modified firefly algorithm, the parameters of the algorithm can be adjusted adaptively according to the lightness variance of the firefly population. And the random movement step can be determined in accordance with the distance of two fly flies. Meanwhile, the method of autonomous flight was also proposed to improve the performance of the basic algorithm. The performance of the modified firefly algorithm was proved though simulation experiments.