Mathematical Modelling and Optimization of Engineering Problems

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 modelin...

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Bibliographic Details
Other Authors: Machado, J. A. Tenreiro (Editor), Özdemir, Necati (Editor), Baleanu, Dumitru (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Nonlinear Systems and Complexity
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Machado, J. A. Tenreiro  |e [editor] 
245 0 0 |a Mathematical Modelling and Optimization of Engineering Problems  |h Elektronische Ressource  |c edited by J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu 
250 |a 1st ed. 2020 
260 |a Cham  |b Springer International Publishing  |c 2020, 2020 
300 |a VIII, 202 p. 76 illus  |b online resource 
505 0 |a 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. Pontryagin’s 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 
653 |a Optimization 
653 |a Engineering mathematics 
653 |a Mathematics / Data processing 
653 |a Computational Science and Engineering 
653 |a Mathematical Physics 
653 |a Mathematical Modeling and Industrial Mathematics 
653 |a Mathematical physics 
653 |a Engineering Mathematics 
653 |a Mathematical optimization 
653 |a Mathematical models 
700 1 |a Özdemir, Necati  |e [editor] 
700 1 |a Baleanu, Dumitru  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Nonlinear Systems and Complexity 
028 5 0 |a 10.1007/978-3-030-37062-6 
856 4 0 |u https://doi.org/10.1007/978-3-030-37062-6?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 530.15 
520 |a 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. Presents new approaches to design and optimize emerging manufacturing systems Examines the similarities between design and optimization processes Explains metaheuristics applied to complex engineering problems Features sections on optimization in the energy storage and generation and optimal control in economics and operational research