Foundations of Genetic Algorithms 8th International Workshop, FOGA 2005, Aizu-Wakamatsu City, Japan, January 5-9, 2005, Revised Selected Papers /

The8thWorkshopontheFoundationsofGeneticAlgorithms,FOGA-8,washeld at the University of Aizu in Aizu-Wakamatsu City, Japan, January 5-9, 2005. This series of workshops was initiated in 1990 to encourage further research on the theoretical aspects of genetic algorithms, and the workshops have been held...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wright, Alden H. (Editor ), Vose, Michael D. (Editor ), De Jong, Kenneth A. (Editor ), Schmitt, Lothar M. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Theoretical Computer Science and General Issues, 3469
Temas:
Computer science.
Algorithms.
Artificial intelligence.
Evolution (Biology).
Population genetics.
Theory of Computation.
Artificial Intelligence.
Evolutionary Biology.
Population Genetics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Genetic Algorithms for the Variable Ordering Problem of Binary Decision Diagrams
  • Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs
  • A Comparison of Simulated Annealing with a Simple Evolutionary Algorithm
  • NP-Completeness of Deciding Binary Genetic Encodability
  • Compact Genetic Codes as a Search Strategy of Evolutionary Processes
  • Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization
  • Running Time Analysis of a Multiobjective Evolutionary Algorithm on Simple and Hard Problems
  • Tournament Selection, Iterated Coupon-Collection Problem, and Backward-Chaining Evolutionary Algorithms
  • A Schema-Based Version of Geiringer's Theorem for Nonlinear Genetic Programming with Homologous Crossover
  • Coarse Graining Selection and Mutation
  • Perturbation Theory and the Renormalization Group in Genetic Dynamics
  • Optimal Weighted Recombination
  • On the Prediction of the Solution Quality in Noisy Optimization
  • Rigorous Runtime Analysis of the (1+1) ES: 1/5-Rule and Ellipsoidal Fitness Landscapes
  • Population Sizing of Dependency Detection by Fitness Difference Classification
  • The Deceptive Degree of the Objective Function.

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