Modified Multi-objective Particle Swarm Optimization Method and its Application to Energy Management System for Factories

Author:

Kitamura Syoichi1,Mori Kazuyuki1,Shindo Seiichi1,Izui Yoshio1

Affiliation:

1. Advanced Technology R&D Center, Mitsubishi Electric Corp.

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference7 articles.

1. (2) N. Suzuki, T. Ueda, and K. Sasakawa: “The Automatic Formulating Method of the Optimal Operating Planning Problem For Energy Supply Systems”, IEEJ Transactions on Industry Applications, Vol. 124, No. 4, pp. 366-372 (2004-4) (in Japanese)

2. (3) T. Hiroyasu, M. Miki, and S. Watanabe: “Evalutionary Algorithms for Multiobjective Optimization”, 13th SICE Symposium on Decentralized Autonomous Systems, pp. 295-300 (2001) (in Japanese)

3. (6) T. Harada: “Diversified Evaluation for Energy Systems by Evolutionary Computation”, SICE Conference on Systems and Information, pp. 393-396 (2001-11)(in Japanese)

4. (7) A. Ide, K. Yasuda, and N. Iwasaki: “Analysis of The Dynamics of Particle Swarm Optimization and Its Application to Global Optimization”, Technical Meeting on System, SICE, pp. 1-6 (2003-3) (in Japanese)

5. (8) S. Kitagawa, Y. Fukuyama, and Y. Todaka: “Partcle Swarm Optimization for Optimal Operational Planning of a Cogeneration Plant”, 2004 National Convention Record IEE Japan, Vol. 4, pp. S19(25)-(28) (2004-3) (in Japanese)

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