多目标扰动生物地理学优化算法

提出一种多目标扰动生物地理学优化算法(MDBBO) 来求解多目标优化问题(MOPs). 该算法基于现有群体中非支配可行解的比率, 联合个体非支配等级排序和拥挤距离对个体进行评价; 在生物地理迁移策略基础上提出扰动迁移算子并应用于群体进化, 增强群体多样性; 应用归档种群来保存所获得的非支配可行解, 并用循环拥挤距离法对其更新, 确保群体的均匀分布性. 通过标准函数测试以及与经典算法比较表明了该算法求解MOPs 的有效性.

Multi-objective disturbance biogeography-based optimization algorithm

A multi-objective disturbance biogeography-based optimization algorithm(MDBBO) is proposed for multiobjective optimization problems(MOPs). Based on the ratio of non-dominated feasible solutions in current population, individuals are evaluated by combining their non-dominated rank sorting and crowded distances. A disturbance migration operator is proposed based on the biogeography migration strategy, which is applied to the evolution of the population so that the diversity of the population can be improved. An archive population is applied to store non-dominated feasible individuals gained, while the method of circle crowded disturbance is used to update the archive population to ensure the uniform distribution of population. Simulation results on benchmark test problems show the effectiveness of the MDBBO for MOPs.