Affiliations: [a] Department of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran | [b] Department of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
Correspondence:
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Corresponding author: Hamidreza Rashidy Kanan, Department of Computer Engineering, Shahid Rajaee Teacher Training University, P.O. Box 16785-163, Tehran, Iran. E-mail:[email protected],[email protected]
Abstract: Krill Herd (KH) optimization algorithm was recently proposed based on
herding behavior of krill individuals in the nature for solving optimization
problems. In this paper, we develop Standard Krill Herd (SKH)
algorithm and propose Fuzzy Krill Herd (FKH) optimization algorithm which is
able to dynamically adjust the participation amount of exploration and
exploitation by looking the progress of solving the problem in each step. In
order to evaluate the proposed FKH algorithm, we utilize some standard
benchmark functions and also Inventory Control Problem. Experimental results
indicate the superiority of our proposed FKH optimization algorithm in
comparison with the standard KH optimization algorithm.
Keywords: Standard Krill Herd (SKH) optimization algorithm, Fuzzy Krill Herd (FKH) optimization algorithm, exploration, exploitation, inventory control problem
