Evolutionary Algorithms for Solving Multi-Objective Problems Second Edition /

• Main Authors: Coello, Carlos A. Coello (Author), Lamont, Gary B. (Author), Veldhuizen, David A. Van (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2007.
• Series: Genetic and Evolutionary Computation Series,
• Subjects: Computer science.; Computer programming.; Computers.; Algorithms.; Artificial intelligence.; Mathematical optimization.; Probabilities.; Computer Science.; Programming Techniques.; Theory of Computation.; Optimization.; Probability Theory and Stochastic Processes.; Algorithm Analysis and Problem Complexity.; Artificial Intelligence (incl. Robotics).

This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. All the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and stude...

Table of Contents:

• Basic Concepts
• MOP Evolutionary Algorithm Approaches
• MOEA Local Search and Coevolution
• MOEA Test Suites
• MOEA Testing and Analysis
• MOEA Theory and Issues
• Applications
• MOEA Parallelization
• Multi-Criteria Decision Making
• Alternative Metaheuristics.