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- 针对量子粒子群优化算法在处理高维复杂函数时存在的收敛速度慢、易陷入局部极小等问题,提出了混沌量子粒子群优化算法。-Abstract:Using quantum-behaved particle swarmoptimization (QPSO) to handle complex functions with high-dimension has the problems of low convergence speed and sensitivity to local convergence
Chaos-particle-algorithm
- 针对粒子群优化算法稳定性较差和易陷入局部极值的缺点,论文提出了一种新颖的混沌粒子群优化算法。-Particle swarm optimization for the poor stability and ease of getting into local extremum shortcomings, the paper proposes a novel chaotic particle swarm optimization algorithm.