Carlos Coello Coello, Gary B. Lamont, David A. van Veldhuizen

Evolutionary Algorithms for Solving Multi-Objective Problems (eBook, PDF)

• Format: PDF

Produktbeschreibung

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom, with links to a complete set of teaching tutorials, exercises and solutions. The book contains exhaustive appendices, index and bibliography. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 800
• Erscheinungstermin: 26. August 2007
• Englisch
• ISBN-13: 9780387367972
• Artikelnr.: 43728580

Autorenporträt

Carlos A. Coello Coello, CINVESTAV-IPN, México City, México / Gary B. Lamont, Air Force Institute of Technology, WPAFB, Dayton, OH, USA / David A. Van Veldhuizen, AFMC/DR, Wright-Patterson AFB, OH, USA

Inhaltsangabe

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.