Provides a broad sample of current information processing applications Includes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems
Author(s): Manuel Grana (Editor), Richard Duro (Editor), Alicia d'Anjou (Editor), Paul P. Wang (Editor)
Edition: 1st Edition.
Year: 2004
Language: English
Pages: 334
Cover......Page 1
Information Processing
with Evolutionary
Algorithms......Page 4
Advanced Information and Knowledge Processing......Page 2
ISBN 1852338660......Page 5
Preface......Page 6
Contents......Page 14
List of Contributors......Page 16
1 Adaptive Business Intelligence Based on Evolution
Strategies: Some Application Examples of Self-Adaptive
Software......Page 20
2 Extending the Boundaries of Design Optimization by
Integrating Fast Optimization Techniques with Machine Code
Based, Linear Genetic Programming......Page 29
3 Evolutionary Optimization of Approximating Triangulations
for Surface Reconstruction from Unstructured 3D Data......Page 49
4 An Evolutionary Algorithm Based on Morphological
Associative Memories for Endmember Selection in
Hyperspectral Images......Page 63
5 On a Gradient-based Evolution Strategy for Parametric
Illumination Correction......Page 78
6 A New Chromosome Codication for Scheduling Problems......Page 90
7 Evolution-based Learning of Ontological Knowledge for a
Large-Scale Multi-Agent Simulation......Page 100
8 An Evolutionary Algorithms Approach to Phylogenetic
Tree Construction......Page 115
9 Robot Controller Evolution with Macroevolutionary
Algorithms......Page 133
10 Evolving Natural Language Grammars......Page 144
11 Evaluating Protein Structure Prediction Models with
Evolutionary Algorithms......Page 158
12 Learning Decision Rules by Means of Hybrid-Encoded
Evolutionary Algorithms......Page 174
13 Evolvable Hardware Techniques for Gate-Level Synthesis
of Combinational Circuits......Page 191
14 The Evolutionary Learning Rule in System Identification......Page 209
15
Current and Future Research Trends in
Evolutionary Multiobjective Optimization......Page 227
16
Genetic Algorithms with Limited
Convergence......Page 246
17
Evolution with Sampled Fitness Functions......Page 267
18
Molecular Computing by Signaling
Pathways......Page 280
19
Strategy-Oriented Evolutionary Games:
Toward a Grammatical Model of Games......Page 296
20
Discrete Multi-Phase Particle Swarm
Optimization......Page 316
Index......Page 339
