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© 2019

Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems

  • Esther Andrés-Pérez
  • Leo M. González
  • Jacques Periaux
  • Nicolas Gauger
  • Domenico Quagliarella
  • Kyriakos Giannakoglou
  • Contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences

  • Presents works from a peer reviewed conference

  • Includes applications in every chapter

Book

Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 49)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Adjoint Methods for Optimisation, Mesh Adaptation and Uncertainty Quantification

    1. Front Matter
      Pages 1-1
    2. Marios Damigos, Eugene de Villiers
      Pages 19-33
    3. Ismael Sanchez Torreguitart, Tom Verstraete, Lasse Mueller
      Pages 35-46
    4. Marc Schwalbach, Tom Verstraete, Jens-Dominik Müller, Nicolas Gauger
      Pages 47-60
    5. G. Alessi, L. Koloszar, Tom Verstraete, J. P. A. J. van Beeck
      Pages 61-75
    6. Athanasios G. Liatsikouras, Guillaume Pierrot, Gabriel Fougeron, George S. Eleftheriou
      Pages 93-107
    7. V. S. Papageorgiou, K. D. Samouchos, Kyriakos Giannakoglou
      Pages 109-125
    8. Flavio Gagliardi, Konstantinos T. Tsiakas, Kyriakos Giannakoglou
      Pages 127-141
    9. Xingchen Zhang, Rejish Jesudasan, Jens-Dominik Müller
      Pages 143-158
  3. Surrogate-Assisted Optimization of Real World Problems

    1. Front Matter
      Pages 159-159
    2. Esther Andrés-Pérez, Daniel González-Juarez, Mario Martin, Emilano Iuliano, Davide Cinquegrana, Gerald Carrier et al.
      Pages 195-210
    3. Dmitrij Ivanov, Dieter Bestle, Christian Janke
      Pages 211-226
    4. Remo De Donno, Stefano Rebay, Antonio Ghidoni
      Pages 227-246
    5. Bárbara Arizmendi Gutiérrez, Edmondo Minisci, Greig Chisholm
      Pages 247-260
    6. Shahrouz Ryan Alimo, Pooriya Beyhaghi, Thomas R. Bewley
      Pages 261-271

About this book

Introduction

This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS).

Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.

Keywords

Design Optimization Metaheuristics Evolutionary and Deterministic Algoritms Methods and Tools for Optimization Surrogate Models Numerical Methods Industrial Optimization Methods ECCOMAS EUROGEN

Editors and affiliations

  • Esther Andrés-Pérez
    • 1
  • Leo M. González
    • 2
  • Jacques Periaux
    • 3
  • Nicolas Gauger
    • 4
  • Domenico Quagliarella
    • 5
  • Kyriakos Giannakoglou
    • 6
  1. 1.ISDEFE MadridSpain
  2. 2.Fluid Mechanics and Propulsion DepartmentUniversidad Politécnica de MadridMadridSpain
  3. 3.International Center for Numerical Methods in Engineering (CIMNE)BarceloneSpain
  4. 4.Chair for Scientific ComputingTechnische Universität KaiserslauternKaiserslauternGermany
  5. 5.Department of Fluid MechanicsItalian Aerospace Research CenterCapuaItaly
  6. 6.School of Mechanical EngineeringNational Technical University of AthensAthensGreece

Bibliographic information