Nadia Nedjah / Luiza de Macedo Mourelle (eds.)

Evolvable Machines

Theory & Practice
Herausgegeben:Nedjah, Nadia; Mourelle, Luiza De Macedo

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Fuzziness and Soft Computing 161
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 10997710, 978-3-540-22905-6
• 2005
• Seitenzahl: 288
• Erscheinungstermin: 5. Oktober 2004
• Englisch
• Abmessung: 241mm x 160mm x 21mm
• Gewicht: 562g
• ISBN-13: 9783540229056
• ISBN-10: 3540229051
• Artikelnr.: 13060102

Autorenporträt

Nadia Nedjah, State University of Rio de Janeiro, Brazil / Luiza de Macedo Mourelle, State University of Rio de Janeiro, Brazil

Inhaltsangabe

Evolvable Robots.- Learning for Cooperative Transportation by Autonomous Humanoid Robots.- Evolution, Robustness and Adaptation of Sidewinding Locomotion of Simulated Snake-like Robot.- Evolution of Khepera Robotic Controllers with Hierarchical Genetic Programming Techniques.- Evolving Controllers for Miniature Robots.- Evolvable Hardware Synthesis.- Evolutionary Synthesis of Synchronous Finite State Machines.- Automating the Hierarchical Synthesis of MEMS Using Evolutionary Approaches.- An Evolutionary Approach to Multi-FPGAs System Synthesis.- Evolvable Designs.- Evolutionary Computation and Parallel Processing Applied to the Design of Multilayer Perceptrons.- Evolvable Fuzzy Hardware for Real-time Embedded Control in Packet Switching.- Improving Multi Expression Programming: An Ascending Trail from Sea-Level Even-3-Parity Problem to Alpine Even-18-Parity Problem.

Rezensionen

From the reviews:

"Evolutionary algorithms are one of the very promising developments in Computer Science that can solve difficult problems ... . The presented book is an excellent example for the successful application of these methods to the Design of Machines ... . A very interesting book, highly recommendable for scientists interested in evolvable systems, but also for all scientists who have to solve special different problems in various application areas." (Christian Posthoff, Zentralblatt MATH, Vol. 1064, 2005)