A genetic algorithm using a finite search space for solving nonlinear/linear fractional bilevel programming problems-Reference-Cited by-同舟云学术

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A genetic algorithm using a finite search space for solving nonlinear/linear fractional bilevel programming problems

Published:2015-05-03 Issue:1 Volume:235 Page:543-558
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Li Hecheng

Funder

the National Natural Science Foundation of China

the Natural Science Foundation of Qinghai Provincial

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

http://link.springer.com/content/pdf/10.1007/s10479-015-1878-5.pdf

Reference36 articles.

1. Abdou-Kandil, H., & Bertrand, P. (1987). Government-private sector relations as a stackelberg game: A degenerate case. Journal of Economic Dynamics and Control, 11, 513–517.

2. Andreani, R., Castro, S. L. C., Chela, J. L., Friedlande, A., & Santos, S. A. (2009). An inexact-restoration method for nonlinear bilevel programming problems. Computational Optimization and Applications, 43, 307–328.

3. Arroyo, J. M., & Galiana, F. D. (2009). On the solution of the bilevel programming formulation of the terrorist threat problem. IEEE Transactions on Power Systems, 20(2), 789–797.

4. Bäck, T. (1996). Evolutionary algorithms in theory and practice. Oxford: Oxford University Press.

5. Bard, J. F. (1998). Practical bilevel optimization: Algorithms and applications. Dordrecht: Kluwer Academic Publishers.

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