Evolutionary Algorithms for Solving Multi-Objective Problems

This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. All the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and stude...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Coello Coello, Carlos (Autor), Lamont, Gary B. (Autor), van Veldhuizen, David A. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:2nd ed. 2007.
Colección:Genetic and Evolutionary Computation,
Temas:
Computer programming.
Computer science.
Mathematical optimization.
Probabilities.
Algorithms.
Artificial intelligence.
Programming Techniques.
Theory of Computation.
Optimization.
Probability Theory.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Basic Concepts
  • MOP Evolutionary Algorithm Approaches
  • MOEA Local Search and Coevolution
  • MOEA Test Suites
  • MOEA Testing and Analysis
  • MOEA Theory and Issues
  • Applications
  • MOEA Parallelization
  • Multi-Criteria Decision Making
  • Alternative Metaheuristics.

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