An Enhance PSO Based Approach for Solving Economical Ordered Quantity (EOQ) Problem
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2015, Vol 5, Issue 1
Abstract
The Meta-heuristic approaches can provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information and with lower computational complexity especially for numerical solutions. This paper presents an enhanced PSO (Particle Swarm Optimization) technique for solving the same problem. Through the PSO performs well but it may require some more iteration to converge or sometimes many repetitions for the complex problems. To overcome these problems an enhanced PSO is presented which utilizes the PSO with double chaotic maps to perform irregular velocity updates which forces the particles to search greater space for best global solution. Finally the comparison between both algorithms is performed for the EOQ problem considering deteriorating items, shortages and partially backlogging. The simulation results shows that the proposed enhanced PSO converges quickly and found much closer solution then PSO.
Authors and Affiliations
Ashutosh Khare , Dr. B. B. Singh , Shalini khare
Keywords
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