Adjusted artificial bee colony (ABC) algorithm for engineering problems
Milan Tuba, Nebojša Bačanin, Nadezda Stanarevic · 2012
In this paper we present a modified algorithm which integrates artificial bee colony (ABC) algorithm with adaptive guidance adjusted for constrained engineering optimization problems. The novel algorithm improves best found solutions in some cases and improves robustness i.e. mean value and variance for number of runs in other cases by improving the algorithm's exploitation/exploration balance. Even though scout bee phase is used for exploration, we introduced adaptive parameter that at different stages of the algorithm narrows search space facilitating faster convergence. We tested our algorithm on four standard engineering benchmark problems. The experimental results show that our modified algorithm can outperform the pure ABC algorithm in most cases.