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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Tan, K.C (Συγγραφέας), Khor, E.F (Συγγραφέας), Lee, T.H (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
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:
  • 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.