Information Processing With Evolutionary Algorithms

by Grana, Manuel; Duro, Richard; d'Anjou, Alicia; Wang, Paul P.

• ISBN13: 9781852338664
• ISBN10: 1852338660
• Format: Hardcover
• Copyright: 2004-11-30
• Publisher: Springer-Verlag New York Inc

Summary

The last decade of the twentieth century has witnessed a surge of interest in numerical, computational intensive approaches to information processing. The lines that draw the boundaries between statistics, optimization, artificial intelligence and information processing are disappearing and it is not uncommon to find well founded and sophisticated mathematical approaches in applications traditionally associated with ad-hoc programming. Evolutionary Algorithms are increasingly being applied to information processing applications that require any kind of optimization and they have reached the status of problem-solving tools in the backpack of the engineer. However, there are still exciting new developments taking place in the academic community. The driving idea in the organization of this edited volume is the emphasis in the contrast between already accepted engineering practice and on-going explorations in the academic community. As From industrial applications to academic speculations suggests, the organization of Information Processing with Evolutionary Algorithms follows an axis of nearness to practical applications, travelling from industrial day-to-day problems and practice to the more speculative works.

Table of Contents

1 Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive Software
T. Bäck	1	(10)
2 Extending the Boundaries of Design Optimization by Integrating Fast Optimization Techniques with Machine Code Based, Linear Genetic Programming
L.M. Deschaine, F.D. Francone	11	(20)
3 Evolutionary Optimization of Approximating Triangulations for Surface Reconstruction from Unstructured 3D Data
K. Weinert, J. Mehnen, M. Schneider	31	(14)
4 An Evolutionary Algorithm Based on Morphological Associative Memories for Endmember Selection in Hyperspectral Images
M. GraÑa, C. Hernandez, A. d'Anjou	45	(16)
5 On a Gradient-based Evolution Strategy for Parametric Illumination Correction
E. Fernandez, M. Graña, J. Ruiz-Cabello	61	(12)
6 A New Chromosome Codification for Scheduling Problems
R. Varela, C.R. Vela, J. Puente, D. Serrano, A. Suarez	73	(10)
7 Evolution-based Learning of Ontological Knowledge for a Large-Scale Multi-Agent Simulation
A. Lazar, R.G. Reynolds	83	(16)
8 An Evolutionary Algorithms Approach to Phylogenetic Tree Construction
C.B. Congdon	99	(18)
9 Robot Controller Evolution with Macroevolutionary Algorithms
J.A. Becerra, J. Santos and R.J. Duro	117	(12)
10 Evolving Natural Language Grammars
W. Cyre	129	(14)
11 Evaluating Protein Structure Prediction Models with Evolutionary Algorithms
J. Gamalielsson, B. Olsson	143	(16)
12 Learning Decision Rules by Means of Hybrid-Encoded Evolutionary Algorithms
J.C. Riquelme, J.S. Aguilar-Ruiz	159	(18)
13 Evolvable Hardware Techniques for Gate-Level Synthesis of Combinational Circuits
A. Hernández-Aguirre	177	(18)
14 The Evolutionary Learning Rule in System Identification
O. Montiel, O. Castillo, P. Melin, R. Sepulveda	195	(18)
15 Current and Future Research Trends in Evolutionary Multi-objective Optimization
C.A. Coello Coello, G. Toscano Pulido, E. Mezura Montes	213	(20)
16 Genetic Algorithms with Limited Convergence
J. Kubalik, L. Rothkrantz, J. Lažanský	233	(22)
17 Evolution with Sampled Fitness Functions
F. Bellas, J.A. Becerra, R.J. Duro	255	(14)
18 Molecular Computing by Signaling Pathways
J.-Q. Liu, K. Shirnohara	269	(16)
19 Strategy-Oriented Evolutionary Games: Toward a Grammatical Model of Games
B. Cases, S.O. Anchorena	285	(20)
20 Discrete Multiphase Particle Swarm Optimization
B. Al-kazemi, C.K. Mohan	305	(24)
Index	329