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Mathematical Modelling and Optimization of Engineering Problems 2020 ed. [Pehme köide]

  • Formaat: Paperback / softback, 202 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 76 Illustrations, black and white; VIII, 202 p. 76 illus., 1 Paperback / softback
  • Sari: Nonlinear Systems and Complexity 30
  • Ilmumisaeg: 13-Feb-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303037064X
  • ISBN-13: 9783030370640
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  • Formaat: Paperback / softback, 202 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 76 Illustrations, black and white; VIII, 202 p. 76 illus., 1 Paperback / softback
  • Sari: Nonlinear Systems and Complexity 30
  • Ilmumisaeg: 13-Feb-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303037064X
  • ISBN-13: 9783030370640
This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.









 
Chapter
1. Heuristic Techniques for Real-time Order Acceptance and
Scheduling in Metal Additive Manufacturing .
Chapter
2. Developing A
Nationwide Energy Storage Policy by Optimal Size and Site Selection .-
Chapter
3. Pontryagins Principle for a Class of Discrete Time
Infinite-horizon Optimal Growth Problems .
Chapter
4. A Medical Modelling
Using Multiple Linear Regression .
Chapter
5. Lie group method solution for
two-dimensional heat and viscous flow driven by injection through a
deformable rectangular channel with porous walls.
Chapter
6. Optimal siting
of wind turbines in a windfarm .
Chapter
7. RSM-based Optimization of
Excitation Capacitance and Speed for a Self-Excited Induction Generator .-
Chapter
8. Distance Constrained Vehicle Routing Problems: A Case Study using
Artificial Bee Colony Algorithm.
Chapter
9. Fractional model for type 1
diabetes.
Chapter
10. Mathematical Modelling and Additive Manufacturing of a
Gyroid.
Jose A. Tenreiro Machado is a Professor at the Institute of Engineering, Polytechnic of Porto, Portugal; Necati Özdemir is a Professor with the Department of Mathematics, Balkesir University, Balkesir, Turkey; Dumitru Baleanu is a Professor with the Department of Mathematics, Çankaya University, Ankara, Turkey and the Institute of Space Sciences, Magurele-Bucharest, Romania.