Information Processing with Evolutionary Algorithms From Industrial Applications to Academic Speculations /
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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
Springer London : Imprint: Springer,
2005.
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Edición: | 1st ed. 2005. |
Colección: | Advanced Information and Knowledge Processing,
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Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.