Hybrid particle swarm optimization algorithm for optimization problem with complicated constraint condition
复杂约束条件下的混合粒子群优化算法*

Focused on the study of the optimization problem with complicated constraint condition, this paper proposed the hybrid particle swarm optimization (PSO) algorithm. Firstly, flexibly combined the standard PSO algorithm with the line search method. Then, adaptively and respectively modified each variable of the particle and gave the searching result simultaneously. Finally, gave the digit experiment. The result shows the proposed hybrid PSO algorithm can obtain a satisfied result for the optimization problem with complicated constraint condition.