This book provides a broad sample of current information processing applications, issues and advances using evolutionary algorithms. The editors present a range of works from successful and down to earth case studies to speculative academic research. It demonstrates how evolutionary algorithms have reached the maturity of an industrial-valuable tool, whilst still continuing to be a subject of academic research, through providing a glimpse of the large variety of problems tackled with evolutionary approximations and of the diversity of evolutionary algorithms themselves.

Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive Software.- Extending the Boundaries of Design Optimizationby 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 Phlogenetic 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 a 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: Towards a Grammatical Model of Games.- Discrete Multi-Phase Particle Swarm Optimization

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