Improved Artificial Bee Colony Algorithm with Chaos

Artificial bee colony (ABC) algorithm is the one of the newest nature inspired heuristics for optimization problem. Like the chaos in real bee colony behavior, this paper proposes a Chaotic ABC (CABC) that use chaotic searching behavior for candidate food position produced in order to improve the convergence characteristics and to prevent the ABC to get stuck on local solutions. To show the performance of our proposed CABC, a number of experiments are carried out on a set of well-known benchmark continuous optimization problems. Simulation results and comparisons with the standard ABC and several meta-heuristics show that the CABC can effectively enhance the searching efficiency and greatly improve the searching quality.