Abstract: In order to enhance the global search ability of artificial bee algorithm in solving complex function optimizalion problem,a hybrid artificial bee colony algorithm (HABC) was proposed. HAI3C is based on multi-parent crossover　and differential evolution, and the key points of it lie in;1) employs multi parent crossover to enhance the global search　capability of the algorithm;2) removes identical individuals from the population for maintaining the diversity;3) adopts differential evolution operator to speed up the evolution. Experimental results on high-dimensional function optimization problems show that HABC possesses more powerful global search capability and better convergence rate.

Key words: Multi-parent crossover, Differential evolution, Artificial bee colony algorithm, HABC