Multi-objective optimization problems : concepts and self-adaptive parameters with mathematical and engineering applications / Fran Sérgio Lobato, Valder Steffen Jr.
2017
QA402.5
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Title
Multi-objective optimization problems : concepts and self-adaptive parameters with mathematical and engineering applications / Fran Sérgio Lobato, Valder Steffen Jr.
Author
Lobato, Fran Sérgio, author.
ISBN
9783319585659 (electronic book)
3319585657 (electronic book)
9783319585642
3319585657 (electronic book)
9783319585642
Published
Cham : Springer, 2017.
Language
English
Description
1 online resource.
Call Number
QA402.5
Dewey Decimal Classification
519.6
Summary
This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system design using a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm. This strategy is proposed in order to reduce the number of evaluations of the objective function through dynamic update of canonical Differential Evolution parameters (population size, crossover probability and perturbation rate). The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed July 31, 2017).
Added Author
Steffen, Valder, author.
Series
SpringerBriefs in mathematics.
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Table of Contents
Chapter 1 Introduction
Part 1 Basic Concepts
Chapter 2 Multi-objective Optimization Problem
Chapter 3 Treatment of multi-objective Optimization Problem
Part 2 Methodology
Chapter 4 Self-Adaptive Multi-objective Optimization Differential Evolution
Part 3 Applications
Chapter 5 Mathematical
Chapter 6 Engineering
Part 4 Final Considerations
Chapter 7 Conclusions.
Part 1 Basic Concepts
Chapter 2 Multi-objective Optimization Problem
Chapter 3 Treatment of multi-objective Optimization Problem
Part 2 Methodology
Chapter 4 Self-Adaptive Multi-objective Optimization Differential Evolution
Part 3 Applications
Chapter 5 Mathematical
Chapter 6 Engineering
Part 4 Final Considerations
Chapter 7 Conclusions.