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03191nam a22005055i 4500 |
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978-3-319-58565-9 |
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DE-He213 |
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20170703090636.0 |
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cr nn 008mamaa |
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170703s2017 gw | s |||| 0|eng d |
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|a 9783319585659
|9 978-3-319-58565-9
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|a 10.1007/978-3-319-58565-9
|2 doi
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|d GrThAP
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|a QA402.5-402.6
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|a PBU
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|a MAT003000
|2 bisacsh
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|a 519.6
|2 23
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|a Lobato, Fran Sérgio.
|e author.
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|a Multi-Objective Optimization Problems
|h [electronic resource] :
|b Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications /
|c by Fran Sérgio Lobato, Valder Steffen Jr.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XX, 160 p. 103 illus., 75 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Mathematics,
|x 2191-8198
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|a 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.
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|a 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.
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| 650 |
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0 |
|a Mathematics.
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| 650 |
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|a Calculus of variations.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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|a Engineering design.
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| 650 |
1 |
4 |
|a Mathematics.
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| 650 |
2 |
4 |
|a Discrete Optimization.
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| 650 |
2 |
4 |
|a Continuous Optimization.
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| 650 |
2 |
4 |
|a Engineering Design.
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| 650 |
2 |
4 |
|a Calculus of Variations and Optimal Control; Optimization.
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| 700 |
1 |
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|a Steffen Jr., Valder.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319585642
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| 830 |
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|a SpringerBriefs in Mathematics,
|x 2191-8198
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-58565-9
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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