Carlos A. Coello Coello

Gary B. Lamont

David A. Van Veldhuizen


Evolutionary Algorithms for Solving Multi-Objective Problems

Second Edition


ISBN: 978-0-387-33254-3


2007


Springer

Berlin Heidelberg New York

Hong Kong London

Milan Paris Tokyo

Foto

Ordering Information

You can order this book from Springer or Amazon.

Table of Contents

The table of contents of this book can be downloaded here

 

Appendix A:

MOP's in the Literature (Algebraic Expressions)

Appendix B: Ptrue & PFtrue for MOP Numeric Unconstrained Test Functions (Part I)
Appendix C: Ptrue & PFtrue for MOP Numeric Unconstrained Test Functions (Part II)
Appendix D: PFtrue for MOP Numeric Unconstrained Test Functions (Part III)
Appendix E: PFtrue for MOP Numeric Unconstrained Test Functions (Part IV)
Appendix F: PFtrue for MOP Numeric Unconstrained Test Functions (Part V)
Appendix G: Ptrue & PFtrue for MOP Numeric Constrained Test Functions
Appendix H: Appendix H: MOEA Software Availability
Appendix I: Appendix I: MOEA-Related Information


Tutorials

  1.  A two-hour tutorial on evolutionary multi-objective optimization.

Public-domain Software

  1. Metaheuristic Algorithms in Java (JMetal). It contains implementations of: NSGA-II, SPEA2, PAES, OMOPSO, AbYSS, MOCell and PESA-II.

  2. PISA: A Platform and Programming Language Independent Interface for Search Algorithms. It contains implementations of NSGA-II, SPEA2, epsilon-MOEA, IBEA, MSOPS, ECEA, FEMO and SEMO.

  3. NODOM:. It contains implementation of the algorithm to find the nondominated set from a set of solutions.

Additional Resources:

  1. The EMOO Repository