现场集装箱装载问题多为多目标、多约束优化的复杂问题。
The container loading problem occurring in on the spot freight production is often with several constraints and objectives, I.
针对复杂集装箱装载问题(CLP)，应用启发式信息与蚁群算法求解了最优装载方案。
In view of the complex Container loading Problem (CLP), the optimal loading plan with heuristic information and the ant colony algorithm was proposed.
因此，寻找一个有效的解决集装箱装载问题的算法对于解决集装箱装载的实际问题以及求解NP完全问题都具有非常重要的意义。
Therefore, finding an effective algorithm to solve the container loading problem is quite meaningful to solving the practical problems of container loading and to calculating NP complete problem.
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