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Solving container loading problem with simulated annealing algorithm

机译:用模拟退火算法解决容器装载问题

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In the economic world, transportation is very important and decreasing transportation cost is a challenging issue. To decrease this cost, increasing the efficiency of loading containers is very important, and this problem mainly named as Container Loading Problem(CLP). There are many researches about CLP with different type of approaches. In the literature, solutions are generally lined up as Heuristic and Meta-Heuristic approaches. Simulated annealing (SA) algorithm is a meta-heuristic approach. The most important advantage of SA is avoiding from local optimums. In this paper, a single CLP is solved by using simulated annealing algorithm. Proposed system algorithm and experimental results are presented. These results showed that SA is an acceptable solution approach for CLP type problems.
机译:在经济世界中,交通是非常重要的,运输成本下降是一个具有挑战性的问题。 为了减少这种成本,提高装载容器的效率非常重要,这个问题主要被命名为容器加载问题(CLP)。 关于具有不同类型方法的CLP有很多研究。 在文献中,溶液通常作为启发式和元启发式方法排列。 模拟退火(SA)算法是一种元启发式方法。 SA最重要的优势是避免局部最佳的。 在本文中,通过使用模拟退火算法来解决单个CLP。 提出了系统算法和实验结果。 这些结果表明,SA是CLP类型问题的可接受的解决方案方法。

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