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Real-World Multi-Objective System Engineering
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Editors: Nedjah, Nadia and Mourelle, Luiza de Macedo (State University of Rio de Janeiro)
Book Description:
Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in most of the cases. Such an optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to multi-objective optimization is of special and growing interest. It brings a solution to many yet-opened real-world problems and questions.
Generally, multi-objective engineering problems have no single optimal design, but several solutions of equal efficiency allowing different trade-offs. The decision maker's preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimization takes place. They may also be introduced interactively at different levels of the optimization process. Multi-objective optimization methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods target a whole set of so-called Pareto-optimal solutions.
The aim of this book is to provide a representation of the state-of-the-art of the evolutionary multi-objective optimization research area and related new trends. Furthermore, it reports many innovative designs yielded by the application of such optimization methods. The contents of the book are divided into two main parts: evolutionary multi-objective optimization and evolutionary multi-objective designs.

Table of Contents:
Preface; PART 1. EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION. Chapter 1. Evolutionary Multi-Objective Optimization: A Review (Nadia Nedjah and Luiza de Macedo Mourelle, State University of Rio de Janeiro, Brazil); Chapter 2. Decision Making in Multi-objective Optimization Problems (Roberta O. Parreiras and João. A. Vasconcelos, Federal University of Minas Gerais, Brazil); Chapter 3. A Comparison of Several Evolutionary Models and Representations for Multiobjective Optimization (Crina Grosan, Babeþ-Bolyai University, Romania); PART II. EVOLUTIONARY MULTI-OBJECTIVE DESIGNS. Chapter 4. Application of Multiobjective Optimization in Electromagnetic Design (Neelakantam V. Venkatarayalu and Tapabrata Ray, National University of Singapore, Singapore); Chapter 5. Compliance and Buckling Optimization of Structures Under Multiple Load Cases (Alfredo R. de Faria, Instituto Tecnológico de Aeronáutica, Brazil); Chapter 6. A Cooperative Metaheuristic Applied to Multi-Objective Flow-Shop Scheduling Problem (Matthieu Basseur, Franck Seynhaeve and El-Ghazali Talbi ,University of Lille, France); Chapter 7. Multiobjective Optimization of Water-Using Systems (Carlos Eduardo Mariano-Romero and Víctor Hugo Alcocer-Yamanaka Mexican Institute of Water Technology, Mexico); Bibliography; Index.

   Binding: Hardcover
   Pub. Date: 2005
   ISBN: 1-59454-390-9
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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