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The aim of this paper is to study a mixed integer nonlinear programming model.The model designs integrated distribution network to account for the optimizing the forward and reverse network simultaneously. Differential evolution is applied to solve the problem. The differential algorithm originally is for global optimization over continuous spaces. In order to adjust parameters effectively and deal...
Differential Evolution (DE) is based on both an evolutionary strategy and a parallel direct search method employing a population. DE is an effective optimization method available for solving global optimization problem over continuous space. DE has a few control parameters that have to be set by users. This paper describes a new DE using Down-hill Simplex Method. Then we consider average distance...
The aim of this paper is to study a mixed integer nonlinear programming model including forward logistics and reverse logistics. The problem is how to select plants, stores and collection points to constitute a closed-loop network, and how to expend the chosen plants, stores and collection points. Differential evolution algorithm is applied to solve the problem. The differential evolution algorithm...
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