小 型 微 型 计 算 机 系 统 2015 年 4 月 第 4 期
mization algorithm was presented． To improve the convergence accuracy of solution set，algorithm take a variety of operators to handle
the external archive，a simplified model of particle swarm optimization is introduced to make this algorithm could be adapted to solving
multi-objective optimization problems． Through selecting individual leadership in stages and a phased in implementation of different
strategies for maintain non-dominated solutions to keep the uniformity of the solution set and enhance the convergence rate at the same
time and improve the uniformity of the solution set of high-dimensional multi-objective optimization problem． A typical multi-objective
functions test shows that the improved algorithm could be able obtain a non-dominated solutions with better uniformity and conver-
gence precision．
Key words� multi-objective optimization� particle swarm optimization� crowding distance� external archives
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1 引 言 导其他粒子的飞行 并采用 Pareto 档案进化策略对外部种群
一种分阶段的改进多目标粒子群优化算法 来自淘豆网m.daumloan.com转载请标明出处.
