A novel hybrid memetic search in Artificial Bee Colony algorithm

Abstract

Artificial Bee Colony (ABC) algorithm is a Nature Inspired Algorithm (NIA). ABC is motivated by clever food foraging behavior of honey bees. Comparable to other population based stochastic algorithm ABC also lack balance in exploration of local search reason and exploitation of finest possible solutions in search space. The proposed algorithm is a hybrid of two memetic algorithms; it combines Levy Flight search in ABC (LFABC) and Memetic Search in ABC (MeABC) algorithm. The proposed algorithm named as Levy Flight Memetic Search in ABC (LFMABC) algorithm. The proposed LFMABC algorithm is tested over eleven benchmark functions in addition to two real world problems in order to establish its superiority over ABC and its recent variants. Results shows that proposed strategy LFMABC is able to find optimum in less time for considered problems.