An enhanced artificial bee colony algorithm based on fitness weighted search strategy

Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, inspired by the bee’s food search behaviour based on swarm intelligence. Successful applications were performed many optimization problems using this rising in popularity over past few years. The update mechanism of ABC despite fact that its exploration good, faces problem convergence performance. For solving Algorithm An Based Fitness Weighted Search (ABCFWS) proposed paper. In approach, an intelligent space instead random algorithm. method, fitness values source and selected neighbour are taken as weights more balanced was found direction with better value. method has been applied to 28 unconstrained numerical test different characteristics results compared variations. show successful competitive.