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References

[ZT1999a]
E. Zitzler and L. Thiele. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation. 3(4):257-271, 1999.
[ZT1998b]
E. Zitzler and L. Thiele. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study. Parallel Problem Solving from Nature - PPSN-V, pages 292-301, Springer, Berlin, September 1998.
[Hor1997]
J. Horn. F1.9 multicriteria decision making. In T. Bäck, D. B. Fogel, and Z. Michalewicz, editors, Handbook of Evolutionary Computation, Institute of Physics Publishing, Bristol (UK), 1997.
[VRUC1997]
M. Valenzuela-Rendón and E. Uresti-Charre. A non-generational genetic algorithm for multiobjective optimization. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 658-665, Morgan Kaufmann, San Francisco, California, July 19-23 1997.
[WM1997]
D. H. Wolpert and W. G. Macready. No Free Lunch Theorems for Optimization. IEEE Transactions on Evolutionary Computation, 1(1), pages 67-82, 1997.
[BHS1997]
T. Bäck, U. Hammel, and H.-P. Schwefel. Evolutionary Computation: Comments om the History and Current State. IEEE Transactions on Evolutionary Computation, 1(1), pages 3-17, 1997.
[FF1995]
C. M. Fonseca and P. J. Fleming. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, 3(1), pages 1-16, 1995.
[MT1990]
S. Martello and P. Toth. Knapsack Problems: Algorithms and Computer Implementations. Wiley, Chichester, 1990.
[Gol1989]
D. E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, Massachusetts, 1989.
[Ste1986]
E. Steuer. Multiple Criteria Optimization: Theory, Computation, and Application. Wiley, New York, 1986.
[GJ1979]
M. R. Garey and D. S. Johnson. Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, New York, 1979.
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