{"title":"磷虾群算法混合方法的比较","authors":"Ai Nurhayati, Aditya Gautama Darmoyono","doi":"10.1109/INCAE.2018.8579364","DOIUrl":null,"url":null,"abstract":"Krill herd algorithm is motivated by the movement of krill herd in the sea. It is a heuristic search method for finding global optimum value. This paper presents a comparison between a mix Krill Herd Quantum Particle Swarm Optimization (KHQPSO) algorithm, a Biogeography Krill Herd (BKH) algorithm and Harmony Search Krill Herd (HSKH) algorithm as a combination of Krill Herd algorithm. The results of the study prove that BKH has better performance than KHQPSO and HSKH algorithm for solving standard test functions.","PeriodicalId":387859,"journal":{"name":"2018 International Conference on Applied Engineering (ICAE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparison of Hybrid Methods of the Krill Herd Algorithm\",\"authors\":\"Ai Nurhayati, Aditya Gautama Darmoyono\",\"doi\":\"10.1109/INCAE.2018.8579364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Krill herd algorithm is motivated by the movement of krill herd in the sea. It is a heuristic search method for finding global optimum value. This paper presents a comparison between a mix Krill Herd Quantum Particle Swarm Optimization (KHQPSO) algorithm, a Biogeography Krill Herd (BKH) algorithm and Harmony Search Krill Herd (HSKH) algorithm as a combination of Krill Herd algorithm. The results of the study prove that BKH has better performance than KHQPSO and HSKH algorithm for solving standard test functions.\",\"PeriodicalId\":387859,\"journal\":{\"name\":\"2018 International Conference on Applied Engineering (ICAE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Applied Engineering (ICAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCAE.2018.8579364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Applied Engineering (ICAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCAE.2018.8579364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparison of Hybrid Methods of the Krill Herd Algorithm
Krill herd algorithm is motivated by the movement of krill herd in the sea. It is a heuristic search method for finding global optimum value. This paper presents a comparison between a mix Krill Herd Quantum Particle Swarm Optimization (KHQPSO) algorithm, a Biogeography Krill Herd (BKH) algorithm and Harmony Search Krill Herd (HSKH) algorithm as a combination of Krill Herd algorithm. The results of the study prove that BKH has better performance than KHQPSO and HSKH algorithm for solving standard test functions.