Chaotic particle swarm optimization for water pollution control system application
混沌粒子群算法在水污染控制系统规划中的应用

As to common optimization methods to solve the planning issues of water pollution control system, the computational process is relatively complex, it is easy to fall into local optimum and the optimal solution is low precise. In order to improve these issues, this paper tried to use chaotic particle swarm optimization algorithm (CPSO) that was proposed by combining particle swarm optimization with chaos. CPSO had an advantage that was simple in principle and could quickly obtain the optimal solution. By comparing the solution of CPSO with genetic algorithm and MATLAB optimization function's in the practical application, the performance and solution of CPSO was proved better than the latter two. Meanwhile, the feasibility and effectiveness of CPSO were also verified.