A Comparison of Hybrid Methods of the Krill Herd Algorithm

摘要

Krill herd algorithm is motivated by the movement of krill herd in the sea. It is a heuristic search method for finding global optimum value. This paper presents a comparison between a mix Krill Herd Quantum Particle Swarm Optimization (KHQPSO) algorithm, a Biogeography Krill Herd (BKH) algorithm and Harmony Search Krill Herd (HSKH) algorithm as a combination of Krill Herd algorithm. The results of the study prove that BKH has better performance than KHQPSO and HSKH algorithm for solving standard test functions.