Machine Learning Algorithm for the Fitness Landscape Learning Evolutionary Computation

Author:

Hasegawa Taku1,Mori Naoki1,Matsumoto Keinosuke1

Affiliation:

1. Graduate School of Engineering, Osaka Prefecture University

Publisher

The Institute of Systems, Control and Information Engineers

Reference18 articles.

1. [2] H. -P. Paul Schwefel: Evolution and Optimum Seeking: The Sixth Generation, John Wiley & Sons,Inc.(1993)

2. [3] J. Biles: GenJam: A genetic algorithm for generating jazz solos; Proc. of the 1994 International Computer Music Conf., pp. 131–137 (1994)

3. [4] Y. Jin: A comprehensive survey of fitness approximation in evolutionary computation; Soft Comput., Vol. 9, No. 1, pp. 3–12 (2005)

4. [5] W. H. Press, B. P. Flannery, S. A. Teukolsky and W.T. Vetterling: Numerical Recipes in C: The Art of Scientific Computing, Cambridge University Press (1988)

5. [6] K. H. Liang, X. Yao and C. Newton: Evolutionary search of approximated n-dimensional landscapes; International Journal of Knowledge-based Intelligent Engineering Systems, Vol. 4, pp. 172–183 (2000)

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