Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms, these problems are more efficiently and more accurately solved. This book 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 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.
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