인공벌 군집 알고리즘을 기반으로 한 복합탐색법

Abstract

A hybrid search method based on the artificial bee colony algorithm (ABCA)with harmony search (HS) is suggested for finding a global solution in the fieldof optimization. Three cases of the suggested algorithm were examined forimproving the accuracy and convergence rate. The results showed that the case inwhich the harmony search was implemented with the onlooker phase in ABCAwas the best among the three cases. Although the total computation time of thebest case is a little bit longer than the original ABCA under the prescribedconditions, the global solution improved and the convergence rate was slightlyfaster than those of the ABCA. It is concluded that the suggested algorithmimproves the accuracy and convergence rate, and it is expected that it caneffectively be applied to optimization problems with many design variables andlocal solutions.