|
Title
|
|
|
|
A memetic algorithm for bi-objective integrated forward/reverse logistics network design
|
|
|
Author
|
|
|
|
|
|
|
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. |
|
|
|
Language
|
|
|
|
English
|
|
|
Source (journal)
|
|
|
|
Computers & operations research. - New York, N.Y.
|
|
|
Publication
|
|
|
|
New York, N.Y.
:
2010
|
|
|
ISSN
|
|
|
|
0305-0548
|
|
|
DOI
|
|
|
|
10.1016/J.COR.2009.09.018
|
|
|
Volume/pages
|
|
|
|
37
:6
(2010)
, p. 1100-1112
|
|
|
ISI
|
|
|
|
000272578500012
|
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|