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自由搜索算法是一种性能优良全局优化算法。将该算法拓展到多目标优化领域,提出了基于混合策略的多目标自由搜索算法。新算法针对多目标优化的特点,设计了新的信息素和灵敏度选择机制,采用搜索半径自适应策略提高搜索效率,同时引入变异算子提高种群多样性。数值实验表明新算法性能优良。
Free-search algorithm is an excellent global optimization algorithm. The algorithm is extended to the field of multi-objective optimization, and a multi-objective free search algorithm based on hybrid strategy is proposed. Aiming at the characteristics of multi-objective optimization, the new algorithm designed a new selection mechanism of pheromone and sensitivity, using search radius adaptive strategy to improve search efficiency, and introducing mutation operator to improve the diversity of population. Numerical experiments show that the new algorithm has good performance.