A new hybrid particle swarm optimization combined with genetic algorithm was proposed in order to solve complex questions with high dimensions and overcome pie-maturity and the weak ability of local search.
A new hybrid particle swarm optimization combined with genetic algorithm was proposed in order to solve complex questions with high dimensions and overcome pie-maturity and the weak ability of local search.
摘要为解决高维复杂函数的优化问题，克服标准粒子群算法早熟收敛、局部搜索能力弱等缺点，在标准粒子群优化算法中融合了遗传算法的设计思想，提出了一种新颖的混合粒子群算法。