author Eoksu Sim 
2nd author / Haejoong Kim (Dept. of Industrial Engineering, Seoul National University)
/ Chankwon Park (Dept. of Industrial Engineering, Seoul National University)
/ Jinwoo Park (Dept. of Industrial Engineering, Seoul National University) 
presenter  
info Date: 2004년 10월 04일 ~ 2004년 10월 06일
City: Jeju
Nation: Korea
Additional Information:
2004 Jeju International Simulation Multiconference 
year 2004 
category IC 
start / end date  
city / nation  
학회 AsiaSim 
keywords Closed-loop supply chain, network design, genetic algorithm 
abstract Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer and network technology and the increasingly fierce competition in recent times have compelled global company to consider these two networks in integrated view for efficient decision-making throughout the supply chain. The integrated problem, however, resembles a combinatorial problem, whose computation time to obtain an optimal solution increases exponentially in proportion to the size of the problem. Therefore, an algorithm able to generate a relatively good solution within a reasonable time is needed. In this study, we propose an LP-based genetic algorithm. The experimental results show that the proposed algorithm is superior to MIP solver in time and to traditional genetic algorithm in quality. 
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