Modified artificial bee colony algorithm based on segmental-search strategy

For the problem that when using the basic artificial bee colony(ABC) algorithm to solve the optimal problems, it can not converge so fast and can trap in a local optimal solution easily.Therefore,a modified artificial bee colony algorithm is proposed.To improve the updating rate of food sources,the segmental-search strategy is used,and the way of the onlookers choosing the food sources is modified to optimize the best food source fully.Many experiment results of classic functions show that the modified algorithm owns steady performance,has great advantage of convergence property and global optimizing ability,and also runs faster than ABC algorithm.