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A Network Optimization Research for Product Returns Using Modified Plant Growth Simulation Algorithm
Joint Authors
Ruan, Junhu
Wang, Xuping
Qiu, Jian
Li, Tong
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-09
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
As product returns are eroding Internet retail profit, managers are continuously striving for a more scientific and efficient network layout to arrange the returned goods.
Based on a three-echelon product returns network, this paper proposes a mixed integer nonlinear programming model with the aim of minimizing total cost and creates a high-efficiency method, the Modified Plant Growth Simulation Algorithm (MPGSA), to optimize the problem.
The algorithm handles the objective function and the constraints, respectively, requiring no extrinsic parameters and provides a guiding search direction generated from the assessment of the current solving state.
Above all, MPGSA keeps a great balance between concentrating growth opportunities on the outstanding growth points and expanding the searching scope.
The improvements give the revaluating and reselecting chances to all growth points in each iteration, enhancing the optimization efficiency.
A case study illustrates the effectiveness and robustness of MPGSA compared to its original version, Plant Growth Simulation Algorithm, and other approaches, namely, Genetic Algorithm, Artificial Immune System, and Simulated Annealing.
American Psychological Association (APA)
Wang, Xuping& Qiu, Jian& Li, Tong& Ruan, Junhu. 2017. A Network Optimization Research for Product Returns Using Modified Plant Growth Simulation Algorithm. Scientific Programming،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1203273
Modern Language Association (MLA)
Wang, Xuping…[et al.]. A Network Optimization Research for Product Returns Using Modified Plant Growth Simulation Algorithm. Scientific Programming No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1203273
American Medical Association (AMA)
Wang, Xuping& Qiu, Jian& Li, Tong& Ruan, Junhu. A Network Optimization Research for Product Returns Using Modified Plant Growth Simulation Algorithm. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1203273
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203273