Multiobjective Evolutionary Algorithms and Applications

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tan, Kay Chen (Autor), Khor, Eik Fun (Autor), Lee, Tong Heng (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Advanced Information and Knowledge Processing,
Temas:
Computer science.
Algorithms.
Information technology-Management.
Application software.
Theory of Computation.
Computer Application in Administrative Data Processing.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Review of MOEAs
  • Conceptual Framework and Distribution Preservation Mechanisms for MOEAs
  • Decision Supports and Advanced Features for MOEAs
  • Dynamic Population Size and Local Exploration for MOEAs
  • A Distributed Cooperative Coevolutionary Multiobjective Algorithm
  • Learning the Search Range in Dynamic Environments
  • Performance Assessment and Comparison of MOEAs
  • A Multiobjective Evolutionary Algorithm Toolbox
  • Evolutionary Computer-Aided Control System Design
  • Evolutionary Design Automation of Multivariable QFT Control System
  • Evolutionary Design of HDD Servo Control System
  • Evolutionary Scheduling - VRPTW
  • Evolutionary Scheduling - TTVRP.

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