An analysis of Gray versus binary encoding in genetic search

Author:

Chakraborty Uday K.,Janikow Cezary Z.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference23 articles.

1. A Connectionist Machine for Genetic Hillclimbing;Ackley,1997

2. R.A. Caruana, J.D. Schaffer, Representation and hidden bias: Gray vs. binary coding for genetic algorithms, in: Proceedings of 5th International Conference on Machine Learning, Morgan Kaufmann, Los Altos, CA, 1988, pp. 153–161

3. Analysis of selection algorithms: A Markov chain approach;Chakraborty;Evolutionary Computation,1996

4. U.K. Chakraborty, D.G. Dastidar, Chromosomal encoding in genetic adaptive search, in: Proceedings of International Conference on Signals, Data and Systems, AMSE, vol. 2, 1991, pp. 191–195

5. A Markov chain framework for the simple genetic algorithm;Davis;Evolutionary Computation,1993

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