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Analysis of Genetic Algorithm and Particle Swarm Optimization for Warehouse with Supply Chain Management in Inventory Control

by Ajay Singh Yadav, Prerna Maheshwari (Sharma), Anupam Swami
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 154 - Number 5
Year of Publication: 2016
Authors: Ajay Singh Yadav, Prerna Maheshwari (Sharma), Anupam Swami
10.5120/ijca2016912133

Ajay Singh Yadav, Prerna Maheshwari (Sharma), Anupam Swami . Analysis of Genetic Algorithm and Particle Swarm Optimization for Warehouse with Supply Chain Management in Inventory Control. International Journal of Computer Applications. 154, 5 ( Nov 2016), 10-17. DOI=10.5120/ijca2016912133

@article{ 10.5120/ijca2016912133,
author = { Ajay Singh Yadav, Prerna Maheshwari (Sharma), Anupam Swami },
title = { Analysis of Genetic Algorithm and Particle Swarm Optimization for Warehouse with Supply Chain Management in Inventory Control },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 154 },
number = { 5 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 10-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume154/number5/26486-2016912133/ },
doi = { 10.5120/ijca2016912133 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:59:24.335979+05:30
%A Ajay Singh Yadav
%A Prerna Maheshwari (Sharma)
%A Anupam Swami
%T Analysis of Genetic Algorithm and Particle Swarm Optimization for Warehouse with Supply Chain Management in Inventory Control
%J International Journal of Computer Applications
%@ 0975-8887
%V 154
%N 5
%P 10-17
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of the proposed study is to give a new dimension on warehouse with Particle Swarm Optimization and Economic Load Dispatch method using genetic algorithm processes in supply chain in inventory optimization to describe the certain and uncertain market demand which is based on supply reliability and to develop more realistic and more flexible models. we hope that the proposed study has a great potential to solve various practical tribulations related to the warehouse with Particle Swarm Optimization and Economic Load Dispatch method using genetic algorithm processes in supply chain in inventory optimization and also provide a general review for the application of soft computing techniques like genetic algorithms to use for improve the effectiveness and efficiency for various aspect of warehouse with Particle Swarm Optimization and Economic Load Dispatch method control using genetic algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Particle Swarm Optimization genetic algorithm warehouse Supply Chain management Inventory control.

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