Multiobjective Evolutionary Algorithms and Applications
Springer Science & Business Media, Feb 18, 2006 - Computers - 296 pages
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.
What people are saying - Write a review
Conceptual Framework and Distribution Preservation Mechanisms
Decision Supports and Advanced Features for MOEAs
Dynamic Population Size and Local Exploration for MOEAs 75
A Distributed Cooperative Coevolutionary Multiobjective Algorithm
Learning the Search Range in Dynamic Environments
Performance Assessment and Comparison of MOEAs 125
A Multiobjective Evolutionary Algorithm Toolbox