This paper presents a new hybrid simulated annealing algorithm for three dimensional container loading problem.
本文提出了一种新的求解三维装箱问题的混合模拟退火演化算法。
The container loading problem occurring in on the spot freight production is often with several constraints and objectives, I.
现场集装箱装载问题多为多目标、多约束优化的复杂问题。
In view of the complex Container loading Problem (CLP), the optimal loading plan with heuristic information and the ant colony algorithm was proposed.
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。
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.
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。
Packing problem is faced in many industries, for example, the container loading, the sheet cutting, the design of VLSI and the newspaper editor.
装箱问题是个在工业生产中经常碰到的问题，如集装箱的装载、板材的切割、集成电路的设计、报纸的排版等等。
Container loading is the three-dimensional problem in "cutting and packing" problems. It is combined optimization with complex constraint condition.
集装箱装入问题是“切割和装入”问题领域中的三维空间问题，是具有复杂约束条件的组合优化问题。
It's an important problem that how to enhance capacity of container in the course of packing, loading and storage.
在货物的包装、存储及装载过程中，如何提高集装箱的利用率，是提高物流效率的重要环节。
It's an important problem that how to enhance capacity of container in the course of packing, loading and storage.
在货物的包装、存储及装载过程中，如何提高集装箱的利用率，是提高物流效率的重要环节。
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