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首页> 外文期刊>Journal of Computational and Applied Mathematics >A new hybrid algorithm of scatter search and Nelder-Mead algorithms to optimize joint economic lot sizing problem
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A new hybrid algorithm of scatter search and Nelder-Mead algorithms to optimize joint economic lot sizing problem

机译：新的散点搜索和Nelder-Mead算法的混合算法，用于优化联合经济批量确定问题

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This paper introduces a hybrid algorithm of Nelder-Mead and scatter search algorithms called SSNM. Numerical results for some known test problems with varying dimensions from 2 to 100 variables prove its great performance for a bounded or constrained problem. This paper also has a considerable contribution to the joint economic lot sizing (JELS) problem literature. This problem is considered for a two-stage supply chain with price-sensitive demand for geometric, geometric-then-equal size and optimal shipment policies. Solution procedures are also developed which use the SSNM algorithm in their steps. These models and solution procedures are novel in the JELS literature. (C) 2015 Elsevier B.V. All rights reserved.
机译：本文介绍了一种Nelder-Mead和称为SSNM的分散搜索算法的混合算法。某些已知的测试问题具有从2到100个变量的不同维度的数值结果证明了其对于有界或受约束问题的出色性能。本文对于联合经济批量确定（JELS）问题文献也有相当大的贡献。对于两级供应链考虑此问题，该供应链对几何尺寸，几何尺寸然后相等的尺寸和最佳的装运策略具有价格敏感的需求。还开发了在其步骤中使用SSNM算法的解决方案过程。这些模型和求解过程在JELS文献中是新颖的。 （C）2015 Elsevier B.V.保留所有权利。

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