Multiobjective Evolutionary Algorithms and Applications

• Main Authors: Tan, K.C (Author), Khor, E.F (Author), Lee, T.H (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Series: Advanced Information and Knowledge Processing
• Subjects: Computer science.; Computers.; Algorithms.; Application software.; Computer Science.; Theory of Computation.; Algorithm Analysis and Problem Complexity.; Computer Appl. in Administrative Data Processing.; Information Systems Applications (incl. Internet).

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...

Table of Contents:

• 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.