PARTICLE SWARM OPTIMIZATION TO SOLVE CONTINUOUS TIME SUPPLY CHAIN PROBLEM

Authors

  • Hegazy Zaher Institute of statistical Studies and Research Operations Research Department Cairo University, Egypt.
  • Taher Taha Zaki Institute of statistical Studies and Research Operations Research Department Cairo University, Egypt.

Keywords:

Particle Swarm Optimization, Runge-Kutta Method, Optimal Control

Abstract

The management of supply chain model with time varying depends on Particle Swarm Optimization (PSO) is presented. The discretization of state differential equations and control vectors is done by Runge Kutta method. The model is then converted to unconstrained optimization problem which is solved by PSO. The comparison between solution by PSO and optimal control theory is conducted.

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Additional Files

Published

15-08-2018

How to Cite

Hegazy Zaher, & Taher Taha Zaki. (2018). PARTICLE SWARM OPTIMIZATION TO SOLVE CONTINUOUS TIME SUPPLY CHAIN PROBLEM. International Educational Journal of Science and Engineering, 1(1). Retrieved from https://iejse.com/journals/index.php/iejse/article/view/3