论文部分内容阅读
提出趋磁性细菌多目标优化算法(MTBMO).该算法以趋磁性细菌优化算法(MBOA)中磁小体(MTSs)的生成机制为基础,设计适用于多目标优化的新型MTSs磁矩调节机制,确保群体的收敛性;同时采用基于混沌变异的替换方法取代MBOA中的磁小体替换机制来增强群体的多样性.通过标准函数测试和与现有多目标优化算法的比较表明,MTBMO对于求解多目标优化问题(MOPs)是可行且有效的.
(MTBMO) is proposed.This algorithm is based on the generation mechanism of magnetosomes (MTSs) in magnetocaloric bacteria optimization algorithm (MBOA), and a new type of MTSs magnetic moment adjustment mechanism is designed for multi-objective optimization, And to ensure the convergence of the population.At the same time, the substitution method based on chaotic mutation is used to replace the magnetosome replacement mechanism in MBOA to enhance the population diversity.Through the comparison between the standard function test and the existing multi-objective optimization algorithm, MTBMO Objective optimization problems (MOPs) are feasible and effective.