Pareto-based multi-objective optimization for classification in data mining

Author:

Kamila Narendra Kumar,Jena Lambodar,Bhuyan Hemanta Kumar

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference53 articles.

1. Deb, K.: Multi-objective Optimization Using Evolutionary Algorithms. Wiley, Chichester (2001)

2. Fonseca, C.M., Fleming, P.J.: Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Forrest, S. (ed.) Proceedings of the Fifth International Conference on Genetic Algorithms, pp. 416–423. Morgan Kauffman, San Mateo (1993)

3. Horn, J., Nafploitis, N., Goldberg, D.E.: A niched Pareto genetic algorithm for multi-objective optimization. In: Michalewicz, Z. (ed.) Proceedings of the First IEEE Conference on Evolutionary Computation, pp. 82–87. IEEE Press, Piscataway (1994)

4. Srinivas, N., Deb, K.: Multi-objective function optimization using non-dominated sorting genetic algorithms. Evol. Comput. 2(3), 221–248 (1995)

5. Zitzler, E., Thiele, L.: Multi-objective optimization using evolutionary algorithms—a comparative case study. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, H.-P. (eds.) Parallel Problem Solving from Nature, V, pp. 292–301. Springer, Berlin (1998)

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