Ebook: Multiobjective Evolutionary Algorithms and Applications
- Tags: Algorithm Analysis and Problem Complexity, Computer Appl. in Administrative Data Processing, Information Systems Applications (incl.Internet)
- Series: Advanced Information and Knowledge Processing
- Year: 2005
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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 implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.
Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
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 implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.
Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
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 implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.
Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
Content:
Front Matter....Pages i-x
Introduction....Pages 1-7
Review of MOEAs....Pages 9-29
Conceptual Framework and Distribution Preservation Mechanisms for MOEAs....Pages 31-49
Decision Supports and Advanced Features for MOEAs....Pages 51-73
Dynamic Population Size and Local Exploration for MOEAs....Pages 75-89
A Distributed Cooperative Coevolutionary Multiobjective Algorithm....Pages 91-110
Learning the Search Range in Dynamic Environments....Pages 111-123
Performance Assessment and Comparison of MOEAs....Pages 125-149
A Multiobjective Evolutionary Algorithm Toolbox....Pages 151-164
Evolutionary Computer-Aided Control System Design....Pages 165-182
Evolutionary Design Automation of Multivariable QFT Control System....Pages 183-202
Evolutionary Design of HDD Servo Control System....Pages 203-217
Evolutionary Scheduling — VRPTW....Pages 219-247
Evolutionary Scheduling — TTVRP....Pages 249-271
Back Matter....Pages 273-295
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 implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.
Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
Content:
Front Matter....Pages i-x
Introduction....Pages 1-7
Review of MOEAs....Pages 9-29
Conceptual Framework and Distribution Preservation Mechanisms for MOEAs....Pages 31-49
Decision Supports and Advanced Features for MOEAs....Pages 51-73
Dynamic Population Size and Local Exploration for MOEAs....Pages 75-89
A Distributed Cooperative Coevolutionary Multiobjective Algorithm....Pages 91-110
Learning the Search Range in Dynamic Environments....Pages 111-123
Performance Assessment and Comparison of MOEAs....Pages 125-149
A Multiobjective Evolutionary Algorithm Toolbox....Pages 151-164
Evolutionary Computer-Aided Control System Design....Pages 165-182
Evolutionary Design Automation of Multivariable QFT Control System....Pages 183-202
Evolutionary Design of HDD Servo Control System....Pages 203-217
Evolutionary Scheduling — VRPTW....Pages 219-247
Evolutionary Scheduling — TTVRP....Pages 249-271
Back Matter....Pages 273-295
....