探讨基于交叉变异算子的量子粒子群优化算法

Research of QDPSO Algorithm Based on Crossover and Mutation Operator

针对量子粒子群优化算法在处理高维复杂函数时存在收敛速度慢、易陷入局部最优等缺点,提出了基于黄金分割法、最速下降法、Fibonacci法、"取大"、"取小"法的新算法,同时把遗传算法中交叉、变异算子引入量子粒子群算法中。

Using Quantum Delta Particle Swarm Optimization（QDPSO） to handle complex functions with high-dimension has the problems of low convergence speed and sensitivity to local convergence.the new method is proposed.That new operators based on golden section method,steepest descent method,fibonacci method,maxinimal and minimal method,then put the crossover and mutation operator of the genetic algorithm into QDPSO.