Paper Info
Title
An Effective Hybrid Differential Evolution Algorithm Incorporating Simulated Annealing For Joint Replenishment And Delivery Problem With Trade Credit
Abstract
In practice, suppliers often provide retailers with forward financing to increase demand or decrease inventory. This paper proposes a new and practical joint replenishment and delivery (JRD) model by considering trade credit. However, because of the complex mathematical properties of JRD, high-quality solutions to the problem have eluded researchers. We design an effective hybrid differential evolution algorithm based on simulated annealing (HDE-SA) that can resolve this non-deterministic polynomial hard problem in a robust and precise way. After determining the suitable parameters by a parameter-tuning test, we verify the performance of the HDE-SA through numerical JRD examples. Compared with the results of other popular evolutionary algorithms, results of randomly generated JRDs indicate that HDE-SA can always obtain slightly lower total costs than differential evolution algorithm (DE) and genetic algorithm (GA) under different situations. Moreover, the convergence rate of the HDE-SA is higher than that of DE and GA. Thus, the proposed HDE-SA is a potential tool for the JRD with trade credit.
Year
DOI
Venue
2016
10.1080/18756891.2016.1256567
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Keywords
Field
DocType
Joint Replenishment and Delivery, trade credit, hybrid differential evolution algorithm, simulated annealing algorithm
Simulated annealing,Mathematical optimization,Evolutionary algorithm,Polynomial,Adaptive simulated annealing,Rate of convergence,Trade credit,Total cost,Mathematics,Genetic algorithm
Journal
Volume
Issue
ISSN
9
6
1875-6891
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yu-Rong Zeng100.34
Peng Lu212617.62
Jinlong Zhang332927.37
Lin Wang412811.88