Applications of multi-objective evolutionary algorithms
by Coello Coello, Carlos A. Lamont, Gary B.
This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algori…
Read More ↓Title Statements
- Full title :Applications of multi-objective evolutionary algorithms / editors, Carlos A. Coello Coello, Gary B. Lamont.
Summary
This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.
Read More ↓Edition Statements
- Publication Date:©2004.
Publication Statements
- Publisher(s):World Scientific
- Place of Publication:Hackensack, NJ
- Language:eng
- Publication Date:©2004.
The Physical Object
- Description:1 online resource (xxvii, 761 pages) : : illustrations
Edition Identifiers
- ISBN:9812567798, 9789812567796, 1281880841, 9781281880840
- oclc:ocn123413440
- LC Classification:QA402.5
- Dewey Decimal:512.2
Table of Contents
FOREWORD; PREFACE; CONTENTS; CHAPTER 1 AN INTRODUCTION TO MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS AND THEIR APPLICATIONS; 1.1. Introduction; 1.2. Basic Concepts; 1.3. Basic Operation of a MOEA; 1.4. Classifying MOEAs; 1.4.1. Aggregating Functions; 1.4.2. Population-Based Approaches; 1.4.3. Pareto-Based Approaches; 1.5. MOEA Performance Measures; 1.6. Design of MOEA Experiments; 1.6.1. Reporting MOEA Computational Results; 1.7. Layout of the Book; 1.7.1. Part I: Engineering Applications; 1.7.2. Part II: Scientific Applications; 1.7.3. Part III: Industrial Applications.
1.7.4. Part IV: Miscellaneous Applications1.8. General Comments; References; CHAPTER 2 APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS IN ENGINEERING DESIGN; 2.1. Introduction; 2.2. Multi-Objective Evolutionary Algorithm; 2.2.1. Algorithms; 2.3. Examples; 2.3.1. Design of a Welded Beam; 2.3.2. Preliminary Design of Bulk Carrier; 2.3.3. Design of Robust Airfoil; 2.4. Summary and Conclusions; References; CHAPTER 3 OPTIMAL DESIGN OF INDUSTRIAL ELECTROMAGNETIC DEVICES: A MULTIOBJECTIVE EVOLUTIONARY APPROACH; 3.1. Introduction; 3.2. The Algorithms.
3.2.1. Non-Dominated Sorting Evolution Strategy Algorithm (NSESA…
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