Optimizing the Distribution of Dairy Products by Heuristic Algorithms and Geographic Information System: A Case Study of FARS PEGAH DAIRY COMPANY

0Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

The problem of the distribution of dairy products, which is classified as a combinatorial optimization problem, cannot be solved in polynomial time. In this paper, an algorithm based on Ant Colony Hybrid meta-heuristic system and Geographic Information System (GIS) was used to find a near-optimal solution to this problem. Using the for-mer method, the nearest neighbor heuristic algorithm was used to find an initial solution, and then, Campbell insertion algorithm having O(n3 ) complexity was applied in order to find a feasible solution. Furthermore, cross exchange local search algorithm was utilized to reduce the time of finding a near-optimal solution. Using the latter method, with regard to geographic features of the problem, the distribution network was opti-mized by GIS. Besides, we attempted to optimize the distribution network of dairy products using multi-objective mathematical model.

Cite

CITATION STYLE

APA

Sharifi, M., & Ahmadi, M. B. (2022). Optimizing the Distribution of Dairy Products by Heuristic Algorithms and Geographic Information System: A Case Study of FARS PEGAH DAIRY COMPANY. Iranian Journal of Mathematical Sciences and Informatics, 17(2), 19–44. https://doi.org/10.52547/ijmsi.17.2.19

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free