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

Автор(и)

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

Ключові слова:

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

Анотація

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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2. Девятков В. Системи штучного інтелекту / Володимир Девятков. – М.: Видавництво МГТУ ім. Баумана, 2001. – 352 c.

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6. – P. 1362 – 1381. 6. Ratnaweera A. Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients / A. Ratnaweera, S. Halgamuge, H. C. Watson // Evolutionary Computation, IEEE Transactions. – June 2004. – Vol.8. – № 3. – P. 240 – 255.

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Біографії авторів

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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Переглядів анотації: 190

Опубліковано

2015-11-25

Як цитувати

[1]
Y. Benderuk і V. Mesyura, «CONSTANT PARAMETER SELECTION OF PARTICLE SWARM OPTIMIZATION METHOD IN PRODUCTION LOAD DISPATCH PROBLEM USING SIMULATED ANNEALING METHOD», Scientific Works of Vinnytsia National Technical University, вип. 2, Лис 2015.

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Розділ

Information Technologies and Computer Engineering

Метрики

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