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.

Reflects the state of the art in information processing with evolutionary algorithms from both the academic and industrial sides Contains some examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems, thereby appealing to people working in industry as well as the academic community Includes supplementary material: sn.pub/extras

Klappentext

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

Inhalt
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.