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Mathematical Modelling and Optimization of Engineering Problems

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  • © 2020

Overview

Editors:
  1. J. A. Tenreiro Machado

    1. Institute of Engineering, Polytechnic of Porto, Porto, Portugal

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  2. Necati Özdemir

    1. Department of Mathematics, Balıkesir University, Balıkesir, Turkey

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  3. Dumitru Baleanu

    1. Department of Mathematics & Computer Science, Cankaya University, Ankara, Turkey

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  • 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

Part of the book series: Nonlinear Systems and Complexity (NSCH, volume 30)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-viii
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  2. Heuristic Techniques for Real-Time Order Acceptance and Scheduling in Metal Additive Manufacturing

    • Qiang Li, David Zhang, Ibrahim Kucukkoc, Naihui He
    Pages 1-24

  3. Developing a Nationwide Energy Storage Policy by Optimal Size and Site Selection

    • Gokturk Poyrazoglu
    Pages 25-49

  4. Pontryagin’s Principle for a Class of Discrete Time Infinite Horizon Optimal Growth Problems

    • Ayşegül Yıldız Ulus
    Pages 51-69

  5. A Medical Modelling Using Multiple Linear Regression

    • Arshed A. Ahmad, Murat Sari, Tahir Coşgun
    Pages 71-87

  6. Lie Group Method Solution for Two-Dimensional Heat and Viscous Flow Driven by Injection Through a Deformable Rectangular Channel with Porous Walls

    • Gabriel Magalakwe, M. L. Lekoko, K. Modise, Chaudry Masood Khalique
    Pages 89-114

  7. Optimal Siting of Wind Turbines in a Wind Farm

    • Melike Sultan Karasu Asnaz, Bedri Yuksel, Kadriye Ergun
    Pages 115-137

  8. RSM-Based Optimization of Excitation Capacitance and Speed for a Self-Excited Induction Generator

    • Haris Calgan, José Manuel Andrade, Metin Demirtas
    Pages 139-155

  9. Distance-Constrained Vehicle Routing Problems: A Case Study Using Artificial Bee Colony Algorithm

    • Aslan Deniz Karaoglan, Ismail Atalay, Ibrahim Kucukkoc
    Pages 157-173

  10. Fractional Model for Type 1 Diabetes

    • Ana R. M. Carvalho, Carla M. A. Pinto, João M. de Carvalho
    Pages 175-185

  11. Mathematical Modelling and Additive Manufacturing of a Gyroid

    • Yılmaz Gür
    Pages 187-196

  12. Back Matter

    Pages 197-202
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Keywords

About this book

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.

 

Editors and Affiliations

  • Institute of Engineering, Polytechnic of Porto, Porto, Portugal

    J. A. Tenreiro Machado

  • Department of Mathematics, Balıkesir University, Balıkesir, Turkey

    Necati Özdemir

  • Department of Mathematics & Computer Science, Cankaya University, Ankara, Turkey

    Dumitru Baleanu

About the editors

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, Balıkesir University, Balıkesir, Turkey; Dumitru Baleanu is a Professor with the Department of Mathematics, Çankaya University, Ankara, Turkey and the Institute of Space Sciences, Magurele-Bucharest, Romania.


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