This study describes evolution-based algorithms used for both the study of complex systems and the resolution of difficult optimization problems. Evolution algorithms are techniques drawn from artificial intelligence which mimic nature according to Darwin's principle of the survival of the fittest. The contributors describe theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. They link artificial intelligence and scientific computing in order to increase the performance of evolution programs for solving real problems.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 250 mm
Breite: 172 mm
Gewicht
ISBN-13
978-0-471-95859-8 (9780471958598)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Partial 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. Cordsn and F. Herrera); The Science of Breeding and Its Application to Genetic Algorithms (H. M; hlenbein); 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).
