Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cor.2009.09.018
Title: A memetic algorithm for bi-objective integrated forward/reverse logistics network design
Authors: Pishvaee, M.S.
Farahani, R.Z. 
Dullaert, W.
Keywords: Closed loop supply chain network
Integrated logistics network
Memetic algorithm
Multi-objective optimization
Issue Date: Jun-2010
Citation: Pishvaee, M.S., Farahani, R.Z., Dullaert, W. (2010-06). A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Computers and Operations Research 37 (6) : 1100-1112. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cor.2009.09.018
Abstract: Logistics network design is a major strategic issue due to its impact on the efficiency and responsiveness of the supply chain. This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks. First, a bi-objective mixed integer programming formulation is developed to minimize the total costs and maximize the responsiveness of a logistics network. To find the set of non-dominated solutions, an efficient multi-objective memetic algorithm is developed. The proposed solution algorithm uses a new dynamic search strategy by employing three different local searches. To assess the quality of the novel solution approach, the quality of its Pareto-optimal solutions is compared to those generated by an existing powerful multi-objective genetic algorithm from the recent literature and to exact solutions obtained by a commercial solver. © 2009 Elsevier Ltd. All rights reserved.
Source Title: Computers and Operations Research
URI: http://scholarbank.nus.edu.sg/handle/10635/114979
ISSN: 03050548
DOI: 10.1016/j.cor.2009.09.018
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