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.

Presents the recent developments in evolvable machine design Including evolvable robotics, evolvable hardware synthesis and evolvable design

Inhalt
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.