CONSTANT PARAMETER SELECTION OF PARTICLE SWARM OPTIMIZATION METHOD IN PRODUCTION LOAD DISPATCH PROBLEM USING SIMULATED ANNEALING METHOD

Authors

  • Yulia Benderuk Vinnytsia National Technical University
  • Volodymyr Mesyura Vinnytsia National Technical University

Keywords:

production load dispatch problem, particle swarm optimization, simulated annealing method

Abstract

This paper shows the solution of production load dispatch problem using particle swarm optimization method. It suggests to use the simulated annealing method for constant parameter selection of particle swarm optimization (socialization and personalization coefficients) during the solution of the production load dispatch problem. The use of the mentioned above approach allowed to achieve better results in comparison with classical particle swarm optimization method.

 

REFERENCES

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Author Biographies

Yulia Benderuk, Vinnytsia National Technical University

Student, Institute of Information Technologies and Computing Engineering

Volodymyr Mesyura, Vinnytsia National Technical University

Cand. Sc. (Eng.), Assist. Professor, Professor Department of computer sciences

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Published

2015-11-25

How to Cite

[1]
Y. Benderuk and V. Mesyura, “CONSTANT PARAMETER SELECTION OF PARTICLE SWARM OPTIMIZATION METHOD IN PRODUCTION LOAD DISPATCH PROBLEM USING SIMULATED ANNEALING METHOD”, Works of VNTU, no. 2, Nov. 2015.

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Section

Information Technologies and Computer Engineering

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