Evolutionary Algorithms for Solving Multi-Objective Problems

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Coello Coello, Carlos (Author), Lamont, Gary B. (Author), van Veldhuizen, David A. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2007.
Edition:2nd ed. 2007.
Series:Genetic and Evolutionary Computation,
Subjects:
Computer programming.
Computer science.
Mathematical optimization.
Probabilities.
Algorithms.
Artificial intelligence.
Programming Techniques.
Theory of Computation.
Optimization.
Probability Theory.
Artificial Intelligence.
Online Access:Texto Completo
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.

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