Genetic algorithm based approach to bi-level linear programming

Author:

Mathieu R.,Pittard L.,Anandalingam G.

Publisher

EDP Sciences

Subject

Management Science and Operations Research,Computer Science Applications,Theoretical Computer Science

Reference39 articles.

1. ABDULLAH A. R., A Robust Method for Linear and Nonlinear Optimization Based on Genetic Algorithm Cybernetica, 1991, 34, No. 4, pp. 279-287.0741.90062

2. Al KHAYYAL F. A., Minimizing A Quasiconcave Function Over a Convex Set: A Case Solvable by Lagrangian Duality, Proceedings, I.E.E.E. International Conference on Systems, Man, and Cybernetics, Tucson, 1985, AZ, pp. 661-663.

3. ANANDALINGAM G., A Mathematical Programming Model of Decentralized Multi-Level Systems, J. of the Operational Research Society, 1988, 39, No. 110657.90061

4. ANANDALINGAM G. and WHITE D. J., A Penalty Function Approach to Bi-Level Linear Programming, working paper, Department of Systems, University of Pennsylvania, August, 1988.

5. ANANDALINGAM G. and FRIESZ T. L., Hierarchical Optimization: An Introduction, Annals of Operations Research, 1992, 34, pp. 1-11.11509950751.90067

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