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Author:   Miguel Nicolau ,  Krzysztof Krawiec ,  Malcolm I. Heywood ,  Mauro Castelli
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2014 ed.
Volume:   8599
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   3.985kg
ISBN:  

9783662443026

ISBN 10:   3662443023
Pages:   247
Publication Date:   28 August 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Higher Order Functions for Kernel Regression.- Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets.- Learning Dynamical Systems Using Standard Symbolic Regression.- Semantic Crossover Based on the Partial Derivative Error.- A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems.- Generalisation Enhancement via Input Space Transformation: A GP Approach.- On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task.- Genetically Improved CUDA C++ Software.- Measuring Mutation Operators’ Exploration-Exploitation Behaviour and Long-Term Biases.- Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP.- Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming.- Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a ProblemClass.- ESAGP – A Semantic GP Framework Based on Alignment in the Error Space.- Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming.- NEAT, There’s No Bloat.- The Best Things Don’t Always Come in Small Packages: Constant Creation in Grammatical Evolution.- Asynchronous Evolution by Reference-Based Evaluation: Tertiary Parent Selection and Its Archive.- Behavioral Search Drivers for Genetic Programing.- Cartesian Genetic Programming: Why No Bloat.- On Evolution of Multi-category Pattern Classifiers Suitable for Embedded Systems.

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