Genetic Programming
Subtitle: 4th European Conference, EuroGP 2001 Lake Como, Italy, April 18-20, 2001 Proceedings (Lecture Notes in Computer Science)
Contributors: Julian Miller (Editor); Marco Tomassini (Editor); Pier Luca Lanzi (Editor); Conor Ryan (Editor); Andrea G.B. Tettamanzi (Editor); William B. Langdon (Editor)
Edition: 1 edition
Publisher: Springer
Published: May 11, 2001
Language: eng
Format: Paperback
Number of pages: 384
ISBN-13: 9783540418993
Subjects: Computer Programming; Machine learning; Medical / Nursing; Computers - General Information; Artificial Intelligence - General; Programming - General; Artificial Intelligence; General; Computers; Computer Books: General; Computer Science; Adaptive Systems; Computers / Computer Science; Evolutionary Computation; Evolutionary Programming; Genetic Algorithms; Genetic Programming; Neural Computation; Neural Networks; Genetic programming (Computer; Congresses; Genetic programming (Computer science)
First sentence: Genetic programming (GP) is a fast developing field which aims at evolving a population of computer codes towards a program that solves a given problem [Koz92].
Description: Genetic Programming: 4th European Conference, EuroGP 2001 Lake Como, Italy, April 18–20, 2001 Proceedings<br />Author: Julian Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea G. B. Tettamanzi, William B. Langdon<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-41899-3<br /> DOI: 10.1007/3-540-45355-5<br /><br />Table of Contents:<p></p><ul><li>Heuristic Learning Based on Genetic Programming
</li><li>Evolving Color Constancy for an Artificial Retina
</li><li>Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
</li><li>An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
</li><li>Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming
</li><li>CAGE: A Tool for Parallel Genetic Programming Applications
</li><li>Ripple Crossover in Genetic Programming
</li><li>Evolving Receiver Operating Characteristics for Data Fusion
</li><li>An Adaptive Mapping for Developmental Genetic Programming
</li><li>A Schema Theory Analysis of the Evolution of Size in Genetic Programming with Linear Representations
</li><li>Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the Study of the Evolution of Size
</li><li>General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
</li><li>Evolving Modules in Genetic Programming by Subtree Encapsulation
</li><li>Evolution of Affine Transformations and Iterated Function Systems Using Hierarchical Evolution Strategy
</li><li>Evolving Turing Machines for Biosequence Recognition and Analysis
</li><li>Neutrality and the Evolvability of Boolean Function Landscape
</li><li>Polymorphism and Genetic Programming
</li><li>Programmable Smart Membranes: Using Genetic Programming to Evolve Scalable Distributed Controllers for a Novel Self-Reconfigurable Modular Robotic Application
</li><li>A GP Artificial Ant for image processing: preliminary experiments with EASEA.
</li><li>Feature Extraction for the k-Nearest Neighbour Classifier with Genetic Programming</li></ul>