多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard p

粒子群算法基本原理介绍以及例程，内容详细，涵盖面广，辅助入门者加深对算法的理解-The basic principles of particle swarm optimization and routines, detailed and covers a wide range of auxiliary beginners to deepen understanding of the algorithm

粒子群算法在matlab下的研究，相关的理论知识-Particle swarm optimization in matlab, relevant theoretical knowledge

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单-This program is the most basic particle swarm optimization algorithm, using Matlab to achieve, is very simple