Firas Al-Mashhadani, Ibrahim Al-Jadir, Qusay S. Alsaffar
{"title":"An enhanced krill herd optimization technique used for classification problem","authors":"Firas Al-Mashhadani, Ibrahim Al-Jadir, Qusay S. Alsaffar","doi":"10.22630/PNIKS.2021.30.2.30","DOIUrl":null,"url":null,"abstract":"In this paper, this method is intended to improve the optimization of the classification problem in machine learning. The EKH as a global search optimization method, it allocates the best representation of the solution (krill individual) whereas it uses the simulated annealing (SA) to modify the generated krill individuals (each individual represents a set of bits). The test results showed that the KH outperformed other methods using the external and internal evaluation measures.","PeriodicalId":38397,"journal":{"name":"Scientific Review Engineering and Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Review Engineering and Environmental Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22630/PNIKS.2021.30.2.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, this method is intended to improve the optimization of the classification problem in machine learning. The EKH as a global search optimization method, it allocates the best representation of the solution (krill individual) whereas it uses the simulated annealing (SA) to modify the generated krill individuals (each individual represents a set of bits). The test results showed that the KH outperformed other methods using the external and internal evaluation measures.
期刊介绍：
Scientific Review Engineering and Environmental Sciences [Przegląd Naukowy Inżynieria i Kształtowanie Środowiska] covers broad area of knowledge and practice on fields such as: sustainable development, landscaping of non-urbanized lands, environmental engineering, construction projects engineering land management, protection and land reclamation, environmental impact of investments, ecology, hydrology and water management, ground-water monitoring and restoration, geotechnical engineering, meteorology and connecting subjects. Authors are welcome to submit theoretical and practice-oriented papers containing detailed case studies within above mentioned disciplines. However, theoretical papers should contain part with practical application of the theory presented. Papers (in Polish or English languages) are accepted for publication after obtaining positive opinions of two reviewers. Papers published elsewhere are not accepted.
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