基于MATLAB的带压缩系数的多目标粒子群优化算法，不同于基本多目标粒子群算法带有权重系数，其鲁棒性和收敛性更好-Multi-objective optimization algorithm based on particle swarm MATLAB with the compression factor, unlike the basic multi-objective Particle Swarm Optimization with the weight coefficients, its

改进后的粒子群算法，可用于求解规划问题，路径问题和相关多目标组合优化问题-The improved particle swarm optimization (pso) algorithm, can be used to solve the planning problem, the routing problem and the relevant multi-objective combinatorial optimization problem

利用粒子群算法求解函数的极值，用于多目标模型优化(Solving the extreme value of a function using particle swarm optimization algorithm for multi-objective model optimization)