Research Article | OPEN ACCESS
Optimization Route of Food Logistics Distribution Based on Genetic and Graph Cluster Scheme Algorithm
Jing Chen
Yiwu Industrial and Commercial College, Yiwu 322000, China
Advance Journal of Food Science and Technology 2015 5:359-362
Received: December 29, 2014 | Accepted: January 27, 2015 | Published: June 05, 2015
Abstract
This study takes the concept of food logistics distribution as the breakthrough point, by means of the aim of optimization of food logistics distribution routes and analysis of the optimization model of food logistics route, as well as the interpretation of the genetic algorithm, it discusses the optimization of food logistics distribution route based on genetic and cluster scheme algorithm.
Keywords:
Food logistics, genetic and cluster scheme algorithm, optimization model,
References
-
Koskosidis, Y.A., W.B. Powell and M. Solomon, 1992. An optimization-based heuristic for vehicle routing and scheduling with soft time window constraints. Transport. Sci., 26: 69-89.
CrossRef -
Osman, I.H., 1993. Meta-strategy simulate dannealing and Tabu search algorithms for the vehicle routing problem. Ann. Oper. Res., 41: 77-86.
CrossRef -
Russell, R.A., 1995. Hybrid heuristics for the vehicle routing problem with time windows [J]. Transport. Sci., 29: 156-166.
CrossRef -
Thangiah, S.R., J.V. Potvin and T. Sun, 1996. Heuristic approaches to vehicle routing with backhauls and time windows. Int. J. Comput. Oper. Res., 28: 33-37.
CrossRef
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
|
ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
|
Information |
|
|
|
Sales & Services |
|
|
|