用粒子群算法求解单一水库优化调度，只需要修改相应的约束条件就可以进行优化计算了-With a single particle swarm algorithm is optimizing reservoir operation, only need to modify the corresponding constraint conditions can were optimized

针对工程优化设计问题,提出了基于混沌粒子群算法的工程约束优化问题求解方法。CPSO算法利用混沌搜 索的全局遍历性、随机性和规律性等特点, 引导粒子在全局范围内搜索, 从而克服了传统粒子群算法早熟收敛的缺点。 该算法以种群适应度方差作为粒子群优化算法早熟收敛的判据, 并用惩罚函数法处理违法约束的粒子, 当基本粒子群算 法陷入早熟时, 随机选择粒子群中的部分粒子实施混沌搜索, 直至满足迭代收敛条件为止。CPSO算法能提高种群的多 样性和粒子搜索的遍历性, 从而有效提高了PSO算法的收

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱-Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance impro

改进粒子群优化算法(CFAPSO)的MATLAB源程序,这个是引入约束因子的粒子群优化算法-Improved particle swarm optimization algorithm (CFAPSO) MATLAB source, this is the introduction of the constraint factors of particle swarm optimization algorithm particle swarm optimization algorithm