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6th Int. Congr. on Genetics, pp 356-366.

J. (1989) A New Interpretation of the Schema Notation that Overturns the Binary Encoding Constraint. Proc 3rd International Conf on Genetic Algorithms, Morgan-Kaufmann. , Ho meister, F. P. (1991) A Survey of Evolution Strategies. Proc. 4th International Conf. on Genetic Algorithms, Morgan-Kaufmann. Baker, J. (1985) Adaptive selection methods for genetic algorithms. Proc. International Conf. on Genetic Algorithms and Their Applications. J. Grefenstette, ed. Lawrence Erlbaum. Baker, J. (1987) Reducing Bias and Ine ciency in the Selection Algorithm.

Third, in general hill-climbing may nd a small number of signi cant improvements, but may not dramatically change the o spring. In this case, the e ects on schemata and hyperplane sampling may be minimal. 9 Hill-climbers or Hyperplane Samplers? In a recent paper entitled, \How genetic algorithms really work: I. Mutation and Hillclimbing," Muhlenbein shows that an Evolution Strategy algorithm using only mutation works quite well on a relatively simple test suite. " (1992:24). This raises a very interesting issue.

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A genetic algorithm tutorial by Whitley D.

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