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Multi-objective optimization using evolutionary algorithms

Author: Kalyanmoy Deb
Publisher: Chichester ; New York : John Wiley & Sons, ©2001.
Series: Wiley-Interscience series in systems and optimization.
Edition/Format:   Print book : English : 1st edView all editions and formats
Database:WorldCat
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Additional Physical Format: Online version:
Deb, Kalyanmoy.
Multi-objective optimization using evolutionary algorithms.
Chichester ; New York : John Wiley & Sons, ©2001
(OCoLC)606572198
Online version:
Deb, Kalyanmoy.
Multi-objective optimization using evolutionary algorithms.
Chichester ; New York : John Wiley & Sons, ©2001
(OCoLC)607181896
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Kalyanmoy Deb
ISBN: 047187339X 9780471873396
OCLC Number: 46472121
Description: xix, 497 pages : illustrations ; 26 cm.
Contents: 1. Prologue. 1.1. Single and Multi-Objective Optimization. 1.2. Two Approaches to Multi-Objective Optimization. 1.3. Why Evolutionary? 1.4. Rise of Multi-Objective Evolutionary Algorithms --
2. Multi-Objective Optimization. 2.1. Multi-Objective Optimization Problem. 2.2. Principles of Multi-Objective Optimization. 2.3. Difference with Single-Objective Optimization. 2.4. Dominance and Pareto-Optimality. 2.5. Optimality Conditions --
3. Classical Methods. 3.1. Weighted Sum Method. 3.2. [epsilon]-Constraint Method. 3.3. Weight Metric Methods. 3.4. Benson's Method. 3.5. Value Function Method. 3.6. Goal Programming Methods. 3.7. Interactive Methods. 3.8. Review of Classical Methods --
4. Evolutionary Algorithms.
Series Title: Wiley-Interscience series in systems and optimization.
Responsibility: Kalyanmoy Deb.
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