基于粒子群算法求解多目标优化问题
Solutions of Multi-Objective Optimization Problems Based on Particle Swarm Optimization
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摘要: 粒子群优化算法自提出以来 ,由于其容易理解、易于实现 ,所以发展很快 ,在很多领域得到了应用 通过对粒子群算法全局极值和个体极值选取方式的改进 ,提出了一种用于求解多目标优化问题的算法 ,实现了对多目标优化问题的非劣最优解集的搜索 ,实验结果证明了算法的有效性Abstract: Particle swarm optimization (PSO) algorithm has been developing rapidly and has been applied widely since it was introduced,as it is easily understood and realized. Through the improvement of the option modes of gBest and pBest of PSO algorithm,an optimization algorithm applied to solving multi-objective optimization problems is presented,and the search for Pareto optimal set of multi-objective optimization problems is implemented. The effectiveness of the algorithm is proved by experiments.
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