Author:
Abbass Hussein A.,Deb Kalyanmoy
Publisher
Springer Berlin Heidelberg
Reference11 articles.
1. H.A. Abbass. Self-adaptive pareto diffierential evolution. In The IEEE Congress on Evolutionary Computation, Honolulu, USA, pages 831–836. IEEE Press, 2002.
2. H.A. Abbass. A memetic pareto evolutionary approach to artificial neural networks. In M. Stumptner, D. Corbett, and M. Brooks, editors, Proceedings of the 14th Australian Joint Conference on Artificial Intelligence (AI’01), pages 1–12, Berlin, 2001. Springer-Verlag.
3. H.A. Abbass. An evolutionary artificial neural network approach for breast cancer diagnosis. Artificial Intelligence in Medicine, 25(3):265–281, 2002.
4. S. Bleuler, M. Brack, L. Thiele, and E. Zitzler. Multiobjective genetic programming: Reducing bloat using SPEA2. In Proceedings of the 2001 Congress on Evolutionary Computation CEC 2001, pages 536–543. IEEE Press, 2001.
5. E. De Jong, R. Watson, and J. Pollack. Reducing bloat and promoting diversity using multi-objective methods. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 11–18, 2001.
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