Information Processing with Evolutionary Algorithms From Industrial Applications to Academic Speculations /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Wu, Xindong (Editor), Jain, Lakhmi (Editor), Graña, Manuel (Editor), Duro, Richard J. (Editor), d’Anjou, Alicia (Editor), Wang, Paul P. (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Series: Advanced Information and Knowledge Processing
• Subjects: Computer science.; Algorithms.; Information storage and retrieval.; Artificial intelligence.; Computational linguistics.; Computer graphics.; Image processing.; Computer Science.; Information Storage and Retrieval.; Algorithm Analysis and Problem Complexity.; Artificial Intelligence (incl. Robotics).; Language Translation and Linguistics.; Image Processing and Computer Vision.; Computer Graphics.

The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing. The lines that draw the boundaries among statistics, optimization, arti cial intelligence and information processing are disappearing, and it is not uncommo...

Table of Contents:

• Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive Software
• Extending the Boundaries of Design Optimization by Integrating Fast Optimization Techniques with Machine Code Based, Linear Genetic Programming
• Evolutionary Optimization of Approximating Triangulations for Surface Reconstruction from Unstructured 3D Data
• An Evolutionary Algorithm Based on Morphological Associative Memories for Endmember Selection in Hyperspectral Images
• On a Gradient-based Evolution Strategy for Parametric Illumination Correction
• A New Chromosome Codification for Scheduling Problems
• Evolution-based Learning of Ontological Knowledge for a Large-scale Multi-agent Simulation
• An Evolutionary Algorithms Approach to Phylogenetic Tree Construction
• Robot Controller Evolution with Macroevolutionary Algorithms
• Evolving Natural Language Grammars
• Evaluating Protein Structure Prediction Models with Evolutionary Algorithms
• Learning Decision Rules by Means of Hybrid-Encoded Evolutionary Algorithms
• Evolvable Hardware Techniques for Gate-Level Synthesis of Combinational Circuits
• The Evolutionary Learning Rule in System Identification
• Current and Future Research Trends in Evolutionary Multiobjective Optimization
• Genetic Algorithms with Limited Convergence
• Evolution with Sampled Fitness Functions
• Molecular Computing by Signaling Pathways
• Strategy-Oriented Evolutionary Games: Toward a Grammatical Model of Games
• Discrete Multi-Phase Particle Swarm Optimization.