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This paper designed a multi-obiective artificial bee colony algorithm in order to make it effectively apply to multi-objective optimization problem.The evolutionary strategy uses elite solutions to guide search,at the same time combines sine function searching operation to balance exploration and exploitation of solution space.In addition,the al— gorithm records and maintains the Pareto optimal solutions of evolutionary process with the aid of the external archive. The theoretical analysis shows that the proposed algorithm can converge to the theory optimal solution archive of multiobjective problem. In addition,simulations result indicate that the proposed algorithm can effectively close to theory op— timal solution archive,has good convergence and uniformity in solving typical multi—objective optimization problem,and compared with the same type of algorithms in references,it has good performance.

一种多目标人工蜂群算法 (Multi-objective Artificial Bee Colony Algorithm).