Genetic Algorithms in Engineering and Computer Science
This book alerts us to the existence of evolution based software - Genetic Algorithms and Evolution Strategies - used for the study of complex systems and difficult optimization problems unresolved until now.
Format: Hardcover, English, 480 pages
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This book alerts us to the existence of evolution based software - Genetic Algorithms and Evolution Strategies - used for the study of complex systems and difficult optimization problems unresolved until now. Evolution algorithms are artificial intelligence techniques which mimic nature according to Darwin's principle of "survival of the fittest." It presents a compendium of state-of-the-art lectures delivered by recognised experts in the field on theoretical, numerical, and applied aspects of genetic algorithms for the computational optimization problems. It also provides a bridge between artificial intelligence and scientific computing in order to increase the performance of evolution programs for solving real-life problems.
Table of Contents
|THEORETICAL AND COMPUTATIONAL ASPECTS IN GAs AND ESs|
|Evolving Multi-Agent Systems (T. Fogarty, et al.)|
|The Existential Pleasures of Genetic Algorithms (D. Goldberg)|
|A General Study on Genetic Fuzzy Systems (O. Cordón and F. Herrera)|
|The Science of Breeding and Its Application to Genetic Algorithms (H. Mühlenbein)|
|Modeling Hybrid Genetic Algorithms (D. Whitley)|
|APPLICATIONS AND COMPUTATIONAL IMPLEMENTATION|
|Parallel genetic Algorithms for Optimization in CFD (D. Doorly)|
|Genetic Algorithm Modules in MATLAB: Design and Implementation using Software Engineering Practices (A. Satyadas and K. Krishnakumar)|
|Hybrid GA for Multi Objective Aerodynamic Shape Optimization (C. Poloni)|
|Genetic Algorithms Applications in Computational Fluid Dynamics (D. Quagliarella)|