Hierarchical Approach to Evolutionary Multi-Objective Optimization

Author:

Ciepiela Eryk,Kocot Joanna,Siwik Leszek,Dreżewski Rafał

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Ciepiela, E., Kocot, J., Siwik, L.: Composable runtime environment for building evolutionary algorithms. Technical report, Department of Computer Science, AGH University of Science and Technology (2006)

2. Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons, Chichester (2001)

3. Fonseca, C., Fleming, P.: Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization. In: Genetic Algorithms: Proceedings of the Fifth International Conference, pp. 416–423. Morgan Kaufmann, San Francisco (1993)

4. Schaefer, R., Kołodziej, J.: Genetic search reinforced by the population hierarchy. In: Foundations of Genetic Algorithms 7, pp. 383–399. Morgan Kaufman Publisher, San Francisco (2003)

5. Schaffer, J.D.: Some experiments in machine learning using vector evaluated genetic algorithms. PhD thesis, Vanderbilt University (1984)

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