Characterizing crossover in genetic algorithms

Author:

Liepins Gunar E.,Vose Michael D.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence

Reference15 articles.

1. S. Baluja, Adaptive parallel genetic algorithms, DOE-ORNL/ORAU, Science and Engineering Research Semester term report, Oak Ridge, TN (1990).

2. W.W. Bledsoe, The use of biological concepts in the analytical study of systems, Paper presented at the ORSA-TIMS national meeting, San Francisco, CA (1961).

3. L.B. Booker, Improving search in genetic algorithms, in:Genetic Algorithms and Simulated Annealing, ed. L. Davis (Pitman, London, 1987) pp. 61?73.

4. K.A. De Jong, An analysis of the behavior of a class of genetic adaptive systems, Doctoral dissertation, University of Michigan, Dissertation Abstracts International 36(10) (1975) 5140B (University Microfilms No. 76-9381).

5. A.E. Eiben, E.H.L. Aarts and K.M. van Hee, Global convergence of genetic algorithms: An infinite Markow chain analysis,1st Int. Workshop on Problem Solving from Nature, Dortmund, Germany (1990).

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