Properties of a genetic algorithm extended by a random self-learning operator and asymmetric mutations: A convergence study for a task of powder-pattern indexing-Reference-Cited by-同舟云学术

Properties of a genetic algorithm extended by a random self-learning operator and asymmetric mutations: A convergence study for a task of powder-pattern indexing

Published:2006-04 Issue:1 Volume:566 Page:81-98
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Paszkowicz Wojciech

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference132 articles.

1. Adaptation in Natural and Artificial Systems;Holland,1975

2. Genetic Algorithms in Search, Optimization and Machine Learning;Goldberg,1989

3. K.A. De Jong, An analysis of the behavior of a class of genetic adaptive systems, Ph.D. thesis, University of Michigan, USA, 1975.

4. Genetic Algorithms;Holland,1992

5. J. Joines, C. Houck, in: Proceedings of the First IEEE International Conference on Evolutionary Computation, IEEE Press, Orlando, 1994, pp. 579–584.

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