Manuel Graña / Richard J. Duro / Alicia d'Anjou / Paul P. Wang (eds.)

Information Processing with Evolutionary Algorithms

From Industrial Applications to Academic Speculations
Ed. by M. Grana, R. J. Duro, A. d'Anjou et al.

• Gebundenes Buch

Produktbeschreibung

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

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Produktdetails

• Advanced Information and Knowledge Processing
• Verlag: Springer, Berlin
• Artikelnr. des Verlages: 10984611
• 2005 edition
• Seitenzahl: 334
• Erscheinungstermin: 5. Januar 2005
• Englisch
• Abmessung: 245mm x 165mm x 24mm
• Gewicht: 626g
• ISBN-13: 9781852338664
• ISBN-10: 1852338660
• Artikelnr.: 12989447

Autorenporträt

Manuel Graña, Universidad del Pais Vasco, San Sebastian, Spain / Richard J. Duro, Universidade da Coruna, La Coruna, Spain / Alicia d'Anjou, Universidad del Pais Vasco, San Sebastian, Spain / Paul P. Wang, Duke University, Durham, NC, USA

Inhaltsangabe

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