【摘要】 多目标优化问题属于高维的搜索空间,用一些传统方法来优化这些问题会导致较高的时间复杂性。为了解决该问题,使用了粒子群优化算法(PSO),同时将-εdom inance的概念应用到PSO中。该方法在实验过程中取得了良好的效果。其运算速度快,而且最终优化的点数可以得到控制。更多还原

【Abstract】 Multi-bbjective optimization problems always have large and complex search space.Using traditional exact methods solve multi-objective problems may results high time-complex.To solve the problem,the Particle Swarm Optimization(PSO) algorithm was used.The algorithm used ε-dominance method.During experiment,it has better results than CMOPSO,at the same time,it runs fast,and the optimal solutions can be controlled.更多还原