Title: An enhanced krill herd optimization technique used for classification problem

Authors (ORCID): AL-MASHHADANI, F.N. (0000-0003-4537-7832), ALSAFFAR, Q.S., AL-JADIR, I.A.

Keywords: optimization, simulated annealing, standard krill herd

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.

DOI: 10.22630/PNIKS.2021.30.2.30

APA style references: Al-Mashhadani, F.N., Alsaffar, Q.S. & Al-Jadir, I.A. (2021). An enhanced krill herd optimization technique used for classification problem. Scientific Review Engineering and Environmental Sciences, 30 (2), 354-364. doi: 10.22630/PNIKS.2021.30.2.30

APA style citation in text: The first time citation in text: (Al-Mashhadani, Alsaffar & Al-Jadir, 2021), next citation: (Al-Mashhadani et al., 2021)

Chicago style references: Al-Mashhadani, Firas N., Qusay S. Alsaffar, Ibrahim A. Al-Jadir. "An enhanced krill herd optimization technique used for classification problem." Scientific Review Engineering and Environmental Sciences, 92 ser., vol. 30, no 2, (2021): 354-364. doi: 10.22630/PNIKS.2021.30.2.30.

Chicago style citation in text: (Al-Mashhadani, Alsaffar, and Al-Jadir 2021)

Bibtxt style references: Bibtxt_utf8_92art12en.bib

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