Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations - Brossura

Brossura

ISBN 10: 184996937X ISBN 13: 9781849969376

Casa editrice: Springer, 2010

Riassunto

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.

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Contenuti

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 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

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 184996937X
• ISBN 13: 9781849969376
• Rilegatura: Copertina flessibile
• Numero di pagine: 352
• Redattore: Grana Manuel, Duro Richard J., D'Anjou Alicia, Wang Paul P.
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania