Evolvable Systems: From Biology to Hardware: 4th International Conference, ICES 2001 Tokyo, Japan, October 3-5, 2001 Proceedings

ISBN-13: 9783540426714 / Angielski / Miękka / 2001 / 344 str.

Kiyoshi Tanaka;Masaya Iwata;Tetsuya Higuchi

Opis

This book constitutes the refereed proceedings of the 4th International Conference on Evolvable Systems, ICES 2001, held in Tokyo, Japan in October 2001. The 30 revised full papers presented were reviewed and selected for inclusion in the book. The papers are organized in topical sections on evolutionary design of electronic circuits, embryonic electronics, biologically-based systems, evolutionary robotics, evolutionary optimization, evolutionary learning, and applications.

Spis treści

Evolutionary Design of Electronic Circuits.- Two-Step Incremental Evolution of a Prosthetic Hand Controller Based on Digital Logic Gates.- Untidy Evolution: Evolving Messy Gates for Fault Tolerance.- Evolutionary Design Calibration.- Implementation of a Gate-Level Evolvable Hardware Chip.- A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms.- Initial Studies of a New VLSI Field Programmable Transistor Array.- Embryonic Electronics.- An Embryonics Implementation of a Self-Replicating Universal Turing Machine.- Asynchronous Embryonics with Reconfiguration.- Embryonics: Artificial Cells Driven by Artificial DNA.- Biological-Based Systems.- A Self-Repairing and Self-Healing Electronic Watch: The BioWatch.- Shrinking the Genotype: L-systems for EHW?.- Multi-layered Defence Mechanisms: Architecture, Implementation and Demonstration of a Hardware Immune System.- Ant Circuit World: An Ant Algorithm MATLAB™ Toolbox for the Design, Visualisation and Analysis of Analogue Circuits.- Evolutionary Robotics.- Human-Like Dynamic Walking for a Biped Robot Using Genetic Algorithm.- Effect of Fitness for the Evolution of Autonomous Robots in an Open-Environment.- Incremental Evolution of Autonomous Robots for a Complex Task.- Multi-agent Robot Learning by Means of Genetic Programming: Solving an Escape Problem.- Evolutionary Optimization.- Placing and Routing Circuits on FPGAs by Means of Parallel and Distributed Genetic Programming.- A Massively Parallel Architecture for Linear Machine Code Genetic Programming.- Self-Organized Evolutionary Process in Sets of Interdependent Variables near the Midpoint of Phase Transition in K-Satisfiability.- Evolutionary Optimization of Yagi-Uda Antennas.- Evolutionary Learning.- Extraction of Design Patterns from Evolutionary Algorithms Using Case-Based Reasoning.- Balancing Samples’ Contributions on GA Learning.- Solving Partially Observable Problems by Evolution and Learning of Finite State Machines.- GA-Based Learning of kDNF n s Boolean Formulas.- Applications.- Polymorphic Electronics.- Initial Experiments of Reconfigurable Sensor Adapted by Evolution.- A Lossless Compression Method for Halftone Images Using Evolvable Hardware.- Evolvable Optical Systems and Their Applications.