{"title":"hpsom、磷虾群和蜘蛛猴优化算法的比较","authors":"Vaibhav Arora, Pulkit Sood, Kumar Utkarsh Keshari","doi":"10.1109/RAECS.2015.7453377","DOIUrl":null,"url":null,"abstract":"Hybrid Particle Swarm Optimization with Wavelet Mutation (HPSOWM), Krill Herd & Spider Monkey optimization algorithms are recent algorithms proposed for numerical optimization. In this paper their performance across various benchmark functions is evaluated. A t-test is used to compare the statistical significance of the results.","PeriodicalId":256314,"journal":{"name":"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A comparison of HPSOWM, krill herd and Spider Monkey optimization algorithms\",\"authors\":\"Vaibhav Arora, Pulkit Sood, Kumar Utkarsh Keshari\",\"doi\":\"10.1109/RAECS.2015.7453377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hybrid Particle Swarm Optimization with Wavelet Mutation (HPSOWM), Krill Herd & Spider Monkey optimization algorithms are recent algorithms proposed for numerical optimization. In this paper their performance across various benchmark functions is evaluated. A t-test is used to compare the statistical significance of the results.\",\"PeriodicalId\":256314,\"journal\":{\"name\":\"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAECS.2015.7453377\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAECS.2015.7453377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison of HPSOWM, krill herd and Spider Monkey optimization algorithms
Hybrid Particle Swarm Optimization with Wavelet Mutation (HPSOWM), Krill Herd & Spider Monkey optimization algorithms are recent algorithms proposed for numerical optimization. In this paper their performance across various benchmark functions is evaluated. A t-test is used to compare the statistical significance of the results.
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