Experiment on Modified Artificial Bee Colony for Better Global Optimisation

摘要

Although there are many works have been done in Artificial Bee Colony (ABC) algorithm, yet, there still an issue for faster convergence for this algorithm. This paper will present a modified ABC algorithm to find optimum value for optimisation function. This hybrid ABC algorithm will adapt the modification especially in searching mechanism and probability function. The modified algorithm is tested on general global optimisation functions. The result demonstrates that the proposed algorithm produces better convergence compared to the original algorithm.