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.

Written for: First year postgraduates, final year undergraduates, researchers, practitioners, academics in engineering, lecturers

• Review of Multiobjective Evolutionary Algorithms
• Decision Supports in Multiobjective Optimization
• Dynamic Population Size in Multiobjective Optimization
• Density Estimator for Uniform Population Distribution
• Learning the Search Range in Dynamic Environments
• Performance Comparisons of Multiobjective Evolutionary Algorithms
• Multiobjective Evolutionary Algorithm Software
• Evolutionary Computer-Aided Control System Design
• Evolutionary Design Automation for Multivariable QFT Control System
• Evolutionary Design of a Hard Disk Drive Servo System
• Evolutionary Classifier for Data Mining
• Evolutionary Registration of Disparate Spatial Data