Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications

Description

Genetic Algorithms (GA) and Evolution Strategies (ES) are stochastic-based search techniques for solving previously insurmountable optimization problems on computers. This book seeks to present a compendium of lectures delivered by specialists in the field on theoretical, numerical and applied aspects of GA for the computational treatment of continuous, discrete and combinatorial optimization problems. These lectures will be given at the second EUROGEN course, held in Trieste, Italy, in December 1997.

From the Publisher
A collection of state-of-the-art lectures by experts in the field of theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. The theory presented in this book has numerous applications in fluid dynamics, structure mechanics, electromagnetic, automation control, resource optimization, image processing and economics

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