Fuzzy-Genetic Algorithm based inventory model for shortages and inflation under hybrid & PSO
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: The purpose of this article is to evaluate the value of integrating inventory decision. Therefore in this paper a inventory model for deteriorating items is considered under assumption that the Inventory cost (including Fuzzy holding cost and Fuzzy deterioration cost), Fuzzy Transportation cost is incurred and is function of distance irrespective of number of items and the capacity of vehicle. Four kinds of meta-heuristic algorithms or meta-heuristic Fuzzy hybrid algorithms: Fuzzy harmony search, Fuzzy particle swarm optimization, Fuzzy genetic algorithms, Fuzzy simulated annealing. A numerical example is presented to illustrate and validate the model and sensitivity analysis is carried out in case-1for different values of a parameter keeping rest unchanged.
Authors and Affiliations
Dr. Kusum Gupta, , Dr. Ajay Singh Yadav, , Mr. Ankur Garg, , Ms. Anupam Swami
Keywords
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- EP ID EP122445
- DOI -
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