{"title":"比较分析蚁群算法在软件测试中的应用","authors":"Prashant Vats, Manju Mandot, A. Gosain","doi":"10.1109/CIPECH.2014.7019110","DOIUrl":null,"url":null,"abstract":"Ant Colony Optimization are metaheuristic algorithms that uses the search based algorithms as their base. It applies the natural phenomenon of finding the best possible path by the Ants that is covering the minimum distance from the food source to the ant colony, which will be followed by the rest of the ants, resulting into the optimized path. This phenomenon can be applied to provide optimized solutions to solve some complex computational problems. In this paper, we have carried out a review for the applications of the Ant colony Optimization algorithms in context to various level of the Software Testing, thus proving their worth in providing solutions to the various aspects of the Software Testing.","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A comparative analysis of ant colony optimization for its applications into software testing\",\"authors\":\"Prashant Vats, Manju Mandot, A. Gosain\",\"doi\":\"10.1109/CIPECH.2014.7019110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ant Colony Optimization are metaheuristic algorithms that uses the search based algorithms as their base. It applies the natural phenomenon of finding the best possible path by the Ants that is covering the minimum distance from the food source to the ant colony, which will be followed by the rest of the ants, resulting into the optimized path. This phenomenon can be applied to provide optimized solutions to solve some complex computational problems. In this paper, we have carried out a review for the applications of the Ant colony Optimization algorithms in context to various level of the Software Testing, thus proving their worth in providing solutions to the various aspects of the Software Testing.\",\"PeriodicalId\":170027,\"journal\":{\"name\":\"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)\",\"volume\":\"192 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPECH.2014.7019110\",\"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 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2014.7019110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative analysis of ant colony optimization for its applications into software testing
Ant Colony Optimization are metaheuristic algorithms that uses the search based algorithms as their base. It applies the natural phenomenon of finding the best possible path by the Ants that is covering the minimum distance from the food source to the ant colony, which will be followed by the rest of the ants, resulting into the optimized path. This phenomenon can be applied to provide optimized solutions to solve some complex computational problems. In this paper, we have carried out a review for the applications of the Ant colony Optimization algorithms in context to various level of the Software Testing, thus proving their worth in providing solutions to the various aspects of the Software Testing.
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