An enhanced krill herd optimization technique used for classification problem

• Autorzy: Al-Mashhadani Firas N. , Alsaffar Qusay S. , Al-Jadir Ibrahim A.

Identyfikatory

DOI

10.22630/PNIKS.2021.30.2.30

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

optimization; simulated annealing; standard krill herd

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
• Rocznik: 2021
• Tom: Vol. 30, No. 2
• Strony: 354--364
• Opis fizyczny: Bibliogr. 20 poz., tab.

Twórcy

autor

Al-Mashhadani Firas N.

• Ministry of Education, General Directorate of Vocational Education, City Baghdad, Iraq

• https://orcid.org/0000-0003-4537-7832

autor

Alsaffar Qusay S.

• Ministry of Higher Education and Scientific Research – Iraq

autor

Al-Jadir Ibrahim A.

• Murdoch University, PhD holder from the School of Engineering and Information Technology

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)