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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Wu, Xindong (Επιμελητής έκδοσης), Jain, Lakhmi (Επιμελητής έκδοσης), Graña, Manuel (Επιμελητής έκδοσης), Duro, Richard J. (Επιμελητής έκδοσης), d’Anjou, Alicia (Επιμελητής έκδοσης), Wang, Paul P. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2005.
Σειρά:Advanced Information and Knowledge Processing
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.