Genetic algorithms for pattern recognition

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Bibliographic Information

Genetic algorithms for pattern recognition

edited by Sankar K. Pal, Paul P. Wang

CRC Press, c1996

Available at  / 30 libraries

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Includes bibliographical references and index

Description and Table of Contents

Description

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern recognition and machine learning problems to build intelligent recognition systems. The articles, written by leading experts from around the world, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light of genetic algorithms; and they illustrate applications in artificial neural networks and fuzzy logic. The cross-sectional view of current research presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.

Table of Contents

Fitness Evaluation in Genetic Algorithms with Ancestors' Influence, S. De, A. Ghosh, and S.K. Pal The Walsh Transform and the Theory of the Simple Genetic Algorithm, M.D. Vose and A.H. Wright Adaptation in Genetic Algorithms, L.M. Patnaik and M. Srinivas An Empirical Evaluation of Genetic Algorithms on Noisy Objective Functions, K. Mathias, D. Whitley, A. Kusuma, and C. Stork Generalization of Heuristics Learned in Genetics-Based Learning, B.W. Wah, A. Ieumwananonthachai, and Y.-C. Li Genetic Algorithm-Based Pattern Classification: Relationship with Bayes Classifier, C.A. Murthy, S. Bandyopadhyay, and S.K. Pal Genetic Algorithms and Recognition Problems, H. Van Hove and A. Verschoren Mesoscale Feature Labeling from Satellite Images, B.P. Buckles, F.E. Petry, D. Prabhu, and M. Lybanon Learning to Learn with Evolutionary Growth Perceptrons, S.G. Romaniuk Genetic Programming of Logic-Based Neural Networks, V.C. Gaudet Construction of Fuzzy Classification Systems with Linguistic If-Then Rules Using Genetic Algorithms, H. Ishibuchik, T. Murata, and H. Tanaka A Genetic Algorithm Method for Optimizing the Fuzzy Component of a Fuzzy Decision Tree, C.Z. Janikow Genetic Design of Fuzzy Controllers, M.G. Cooper and J.J. Vidal Index

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