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＜電子ブック＞
Mathematical Modelling and Optimization of Engineering Problems / edited by J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu
(Nonlinear Systems and Complexity. ISSN:21960003 ; 30)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	VIII, 202 p. 76 illus : online resource
著者標目	Machado, J. A. Tenreiro editor Özdemir, Necati editor Baleanu, Dumitru editor SpringerLink (Online service)
件　名	LCSH:Mathematical physics LCSH:Engineering mathematics LCSH:Mathematical models LCSH:Mathematical optimization LCSH:Mathematics -- Data processing  全ての件名で検索 FREE:Mathematical Physics FREE:Engineering Mathematics FREE:Mathematical Modeling and Industrial Mathematics FREE:Optimization FREE:Computational Science and Engineering
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-3-030-37062-6

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