作者: Eoksu Sim , Sungwon Jung , Haejoong Kim , Jinwoo Park
DOI: 10.1007/978-3-540-24855-2_129
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摘要: Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer technology increasingly fierce competition recent times have compelled global company to consider these two networks integrated view for efficient decision-making throughout chain. problem, however, resembles a combinatorial whose computation time obtain an optimal solution increases exponentially proportion size of Therefore, algorithm able generate relatively good within reasonable is needed. In this study, we propose LPbased genetic algorithm. experimental results show that proposed superior MIP solver traditional quality.