Applying Multi-objective Optimization for Network Expansion Planning Regarding Various Characteristics

Author:

Tsuchida Mitsugu1,Aoki Hidenori1

Affiliation:

1. Department of Electrical and Electronics Engineering, Faculty of Engineering, Tokai University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference20 articles.

1. (1) H. Mori and T. Hayashi: “A Parallel Approach to Tabu Search for Voltage and Reactive Power Control in Power Systems”, Proc. of the Tenth Annual Conference of Power & Energy Society, IEE Japan, No. 3, pp. 13-18 (1997) (in Japanese)

2. (2) K. Deb and T. Goel: “Controlled Elitist Non-dominated Sorting First Genetic Algorithm for Better Convergence”, Proc. of the First International Conference on Evolutionary Multi-Criterion Optimization, pp. 42-50 (2001)

3. (3) E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: “Improving the performance of the Strength Pareto Evolutionary Algorithm”, in Technical 3. Report 103, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH) Zurich (2001)

4. (4) T. Hiroyasu, M. Miki, S. Watanabe, T. Sakoda, and J. Kamiura: “Evaluation of Genetic Algorithm for Objective Computation Methods”, The Science and Engineering Doshisha University, Vol. 43, No. 1, pp. 41-52 (2002) (in Japanese)

5. (5) E. Zitzler and L. Thiele: “Multi-objective Evolutionary Algorithms A Comparative Case Study and the Strength Pareto Approach”, IEEE Trans. Evolutionary Comput., Vol. 3, No. 4, pp. 257-271 (1999)

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