Evolvable Machines

Theory & Practice

Nadia Nedjah, Luiza de Macedo Mourelle - Collection Studies in Fuzziness and Soft Computing

258 pages, parution le 19/10/2004

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Résumé

Methods for the artificial evolution of active components, such as programs and hardware, are rapidly developing branches of adaptive computation and adaptive engineering. Evolvable Machines reports innovative and significant progress in automatic and evolutionary methodology applied to machine design.
This book presents theoretical as well as practical chapters concentrating on Evolvable Robots, Evolvable Hardware Synthesis, as well as Evolvable Design.

Written for:
Researchers and students in fuzziness, artificial intelligence, robotics

Sommaire

Part I Evolvable Robots:
- Learning for Cooperative Transportation by Autonomous Humanoid Robots
- Evolution, Robustness and Adaptation of Sidewinding Locomotion of Simulated Snak
- like Robot
Part II Evolvable Hardware Synthesis:
- Evolutionary Synthesis of Synchronous Finite State Machines
- Automating the Hierarchical Synthesis of MEMS Using Evolutionary Approaches
Part III Evolvable Designs:
- Evolutionary Computation and Parallel Processing Applied to the Design of Multilayer Perceptrons
- Evolvable Fuzzy Hardware for Rea
- time Embedded Control in Packet Switching.

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Nadia Nedjah, Luiza de Macedo Mourelle
Collection	Studies in Fuzziness and Soft Computing
Parution	19/10/2004
Nb. de pages	258
Format	16 x 24
Couverture	Relié
Poids	550g
Intérieur	Noir et Blanc
EAN13	9783540229056