{"title":"Search Trajectory Networks Meet the Web: A Web Application for the Visual Comparison of Optimization Algorithms","authors":"Camilo Chacon-Sartori, C. Blum, G. Ochoa","doi":"10.1145/3587828.3587843","DOIUrl":null,"url":null,"abstract":"This paper presents a new web application implementing and automizing a tool called Search Trajectory Networks. This web application is potentially very useful for researchers from the field of stochastic optimization algorithms such as metaheuristics because it allows the visual comparison of such algorithms. Moreover, it helps in gaining an improved understanding of optimization algorithm behaviour. Our web application facilitates the use of the Search Trajectory Networks tool because the previously manual process is automized and important improvements are added. These improvements include a simplified input format, a generalization to more than three algorithms and an integrated search space partitioning scheme.","PeriodicalId":340917,"journal":{"name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3587828.3587843","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
This paper presents a new web application implementing and automizing a tool called Search Trajectory Networks. This web application is potentially very useful for researchers from the field of stochastic optimization algorithms such as metaheuristics because it allows the visual comparison of such algorithms. Moreover, it helps in gaining an improved understanding of optimization algorithm behaviour. Our web application facilitates the use of the Search Trajectory Networks tool because the previously manual process is automized and important improvements are added. These improvements include a simplified input format, a generalization to more than three algorithms and an integrated search space partitioning scheme.