Memetic search in Artificial Bee Colony algorithm with fitness based position update

Artificial Bee Colony (ABC) algorithm is one of the latest addition in swarm intelligence based nature inspired algorithm (NIA) which has been proved a competitive algorithm with some popular nature-inspired algorithms. However, it is noticed that the ABC algorithm prefers exploration of search space at the cost of the exploitation of better solutions. This paper presents a hybrid of memetic search in ABC and fitness based position update in ABC. It is a self adaptive fitness based position update strategy in which the perturbation in the solution is based on fitness of the solution and step size controlled by golden section search. The proposed strategy applies memetic search process in ABC and update position according to fitness of individuals. The proposed algorithm named as Memetic search in ABC algorithm with fitness based position update (MFPABC).