Buch, Englisch, 500 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 1021 g
Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming, and Industrial Applications
Buch, Englisch, 500 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 1021 g
ISBN: 978-0-471-99902-7
Verlag: Wiley
Evolutionäre Algorithmen sind Methoden künstlicher Intelligenz, die die Natur imitieren und für ihre Robustheit bei der Durchsuchung großer Räume und bei der Auffindung von Optima nahe des globalen Optimums bekannt sind. Dieser Band enthält die Vortragsmanuskripte des dritten EUROGEN-Kurses (Jyväskylä, Finnland, Mai/Juni 1999), in dessen Mittelpunkt die Anwendung des evolutionären Computings auf reale Probleme der Ingenieurtechnik steht. (05/99)
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Technische Wissenschaften Technik Allgemein Technik: Allgemeines
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
METHODOLOGICAL ASPECTS.
Using Genetic Algorithms for Optimization: Technology Transfer in Action (J. Haataja).
An Introduction to Evolutionary Computation and Some Applications (D. Fogel).
Evolutionary Computation: Recent Developments and Open Issues (K. De Jong).
Some Recent Important Foundational Results in Evolutionary Computation (D. Fogel). Evolutionary Algorithms for Engineering Applications (Z. Michalewicz, et al.).
Embedded Path Tracing and Neighbourhood Search Techniques (C. Reeves T. Yamada). Parallel and Distributed Evolutionary Algorithms (M. Tomassini).
Evolutionary Multi-Criterion Optimization (K. Deb).
ACO Algorithms for the Traveling Salesman Problem (T. Stützle M. Dorigo).
Genetic Programming: Turing's Third Way to Achieve Machine Intelligence (J. Koza, et al.).
Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming (F. Bennett, et al.).
APPLICATION-ORIENTED APPROACHES.
Multidisciplinary Hybrid Constrained GA Optimization (G. Dulikravich, et al.).
Genetic Algorithm as a Tool for Solving Electrical Engineering Problems (M. Rudnicki, et al.).
Genetic Algorithms in Shape Optimization: Finite and Boundary Element Applications (M. Cerrolaza W. Annicchiarico).
Genetic Algorithms and Fractals (E. Lutton).
Three Evolutionary Approaches to Clustering (H. Luchian).
INDUSTRIAL APPLICATIONS.
Evolutionary Algorithms Applied to Academic and Industrial Test Cases (T. Bäck, et al.).
Optimization of an Active Noise Control System Inside an Aircraft, Based on the Simultaneous Optimal Positioning of Microphones and Speakers, with the Use of a Genetic Algorithm (Z. Diamantis, et al.).
Generator Scheduling in Power Systems by Genetic Algorithm and Expert System (B. Galvan, et al.).
Efficient Partitioning Methods for 3-D Unstructured Grids Using Genetic Algorithms (A. Giotis, et al.).
Genetic Algorithms in Shape Optimization of a Paper Machine Headbox (J. Hämäläinen, et al.).
A Parallel Genetic Algorithm for Multi-Objective Optimization in Computational Fluid Dynamics (N. Marco, et al.).
Application of a Multi Objective Genetic Algorithm and a Neural Network to the Optimisation of Foundry Processes (G. Meneghetti, et al.).
Circuit Partitioning Using Evolution Algorithms (J. Montiel-Nelson, et al.).
