Skip to main content
Book cover

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

  • Book
  • © 2019

Overview

  • 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

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (34 chapters)

  1. Adjoint Methods for Optimisation, Mesh Adaptation and Uncertainty Quantification

  2. Surrogate-Assisted Optimization of Real World Problems

Keywords

About this book

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 methodsin aerodynamic design.

Editors and Affiliations

  • ISDEFE , Madrid, Spain

    Esther Andrés-Pérez

  • Fluid Mechanics and Propulsion Department, Universidad Politécnica de Madrid, Madrid, Spain

    Leo M. González

  • International Center for Numerical Methods in Engineering (CIMNE), Barcelone, Spain

    Jacques Periaux

  • Chair for Scientific Computing, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Nicolas Gauger

  • Department of Fluid Mechanics, Italian Aerospace Research Center, Capua, Italy

    Domenico Quagliarella

  • School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

    Kyriakos Giannakoglou

Bibliographic Information

Publish with us