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Obstacle Identification by an Ultrasound Sensor Using Neural Networks Read chapter Read first chapter

1998 | OriginalPaper | Chapter

The Single Chromosome’s Guide to Dating

Authors : M. Ratford, A. Tuson, H. Thompson

Published in: Artificial Neural Nets and Genetic Algorithms

Publisher: Springer Vienna

Included in: Professional Book Archive

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In nature, sexually reproducing organisms do not mate indiscriminately — the choice of mate has an impact upon their offspring’s fitness. The investigation described here shows that, for a wide range of problems in the literature, using sexual selection proved to be a robust method for enhancing genetic algorithm performance. In addition, this investigation provides evidence for which parameters are important for a successful implementation.

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Metadata
Title
The Single Chromosome’s Guide to Dating
Authors
M. Ratford
A. Tuson
H. Thompson
Copyright Year
1998
Publisher
Springer Vienna
Book
Artificial Neural Nets and Genetic Algorithms

Print ISBN: 978-3-211-83087-1

Electronic ISBN: 978-3-7091-6492-1

Copyright Year: 1998

DOI
https://doi.org/10.1007/978-3-7091-6492-1_37