Abstract
This paper introduces a novel form of adaptive plan that is significantly different from current ones. The plan presented does not rely on the generation of expected numbers of solutions and as such can use a new means of sampling the solutions which are used as parents in the crossover process.
A mathematical analysis of some parts of the adaptive plan is presented followed by a discussion of some of the plan’s main advantages. Finally, the successful use of the adaptive plan in a genetic algorithm applied to a problem in shape representation is discussed.
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© 1993 Springer-Verlag/Wien
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Garigliano, R., Purvis, A., Giles, P.A., Nettleton, D.J. (1993). An Adaptive Plan. In: Albrecht, R.F., Reeves, C.R., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7533-0_49
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DOI: https://doi.org/10.1007/978-3-7091-7533-0_49
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82459-7
Online ISBN: 978-3-7091-7533-0
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