Constrained artificial bee colony algorithm for optimization problems
Soudeh Babaeizadeh, Rohanin Ahmad · AIP conference proceedings · 2016
Artificial Bee Colony (ABC) algorithm is a well known swarm intelligence algorithms which have been shown to perform competitively with respect to other population-based algorithms. However, this algorithm has poor exploitation ability. To address this issue, constrained Artificial Bee Colony (cABC) algorithm is proposed where three new solution search equations are introduced respectively to employed bee, onlooker bee and scout bee phases. This algorithm is tested on several constrained benchmark problems. The numerical results demonstrate that the cABC is competitive with other state-of-the-art constrained ABC algorithms under consideration.