Artificial bee colony algorithm based on Boltzmann selection policy
Qing-xian Feng · Computer Engineering and Applications Journal · 2009
Artificial Bee Colony(ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm.In this work,an improved ABC algorithm(BABC) is proposed based on the Boltzmann selection mechanism and used for optimizing multivariable functions.BABC algorithm makes the initial group symmetrical.To avoid premature,this method applies Boltzmann selection mechanism instead of roulette.The experimental results have shown that,the good performance of the algorithm such as avoiding local optima,quick convergence and fewer parameters.