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＜E-Book＞
Multi-Objective Optimization Problems : Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications / by Fran Sérgio Lobato, Valder Steffen Jr
(SpringerBriefs in Mathematics. ISSN:21918201)

Edition	1st ed. 2017.
Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2017
Language	English
Size	XX, 160 p. 103 illus., 75 illus. in color : online resource
Authors	*Lobato, Fran Sérgio author Steffen Jr., Valder author SpringerLink (Online service)
Subjects	LCSH:Mathematical optimization LCSH:Engineering design LCSH:Calculus of variations FREE:Discrete Optimization FREE:Continuous Optimization FREE:Engineering Design FREE:Calculus of Variations and Optimization
Notes	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 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 HTTP:URL=https://doi.org/10.1007/978-3-319-58565-9

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