Skip to main content
SpringerLink
Log in
Book cover

Optimization in Industry

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Ian C. Parmee

    1. CEMS, University of the West of England, Bristol, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Prabhat Hajela

    1. Aeronautical Engineering and Mechanics, Rensselaer Polytechnic Institute, Troy, New York, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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 (30 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Industrial Integration

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Optimization: The Competitive Edge

      • G. N. Vanderplaats
      Pages 3-14

    3. Optimization in Industry — What Does Industry Really Need?

      • M. E. Balázs, G. T. Parks, P. J. Clarkson
      Pages 15-24

    4. Take-up and Adoption of Optimisation Technology for Engineering Design

      • S. S. Wiseall, J. C. Kelly
      Pages 25-30

    5. Structural Optimization of Industrial Engineering Problems with General-purpose Optimization Procedures

      • R. Mücke
      Pages 31-42

  3. Problem Representation Issues

    1. Front Matter

      Pages 43-43
      Download chapter PDF

    2. Genetic Algorithms Solve Combinatorial Optimisation Problems in the Calibration of Combustion Engines

      • K. Knödler, J. Poland, A. Mitterer, A. Zell
      Pages 45-56

    3. Integrated Computational Mechanics and Optimization for Design of Electronic Components

      • S. Stoyanov, C. Bailey, H. Lu, M. Cross
      Pages 57-70

    4. Robust Calibration of Computer Models of Engineering Networks with Limited Data

      • A. B. Templeman, A. Yassin-Kassab
      Pages 71-81

    5. Aerodynamic Shape Optimisation using Evolution Strategies

      • Markus Olhofer, Toshiyuki Arima, Toyotaka Sonoda, Markus Fischer, Bernhard Sendhoff
      Pages 83-94

    6. Time-saving Robust Design Considering Vehicle Crash Performance

      • Axel Schumacher
      Pages 95-106

    7. Strategies for Structural and Thermal Optimization in the Field of Automotive Radio and Navigation Systems

      • U. Lautenschlager, D. Schmitz
      Pages 107-118

  4. Multi-objective Optimization

    1. Front Matter

      Pages 119-119
      Download chapter PDF

    2. Optimal Positioning of Clamps for Workpiece Adjustment Using Multi-objective Evolutionary Computation

      • T. E. Koch, F. Schneider, A. Zell
      Pages 121-133

    3. The Maximin Fitness Function for Multiobjective Evolutionary Optimization

      • R. J. Balling
      Pages 135-147

    4. Gas-assisted Injection Molding Optimization with M.O.G.A.

      • Federico Urban, Carlo Poloni
      Pages 149-161

    5. Aerodynamic Optimization for the Transonic Compressor Stator Blade

      • Y. Yamaguchi, T. Arima
      Pages 163-172

  5. Design Search and Exploration

    1. Front Matter

      Pages 173-173
      Download chapter PDF

    2. The Direct Synthesis of Optimal Design Solutions for Complex Systems

      • A. D. Shell
      Pages 175-188
Back to top

Keywords

About this book

Optimization in Industry comprises a collection of papers presented at the third US United Engineering Foundation's 'Optimization in Industry' Conference. The main thrust of this, the third conference of the series is related to engineering optimization including both manufacture and parametric design. The papers included explore the relationships between well-established deterministic optimization methods and the emerging stochastic and mainly population-based search and optimization algorithms. A mix of approaches across a wide range of engineering disciplines is included. It illustrates the manner in which various techniques can be utilised either in a stand-alone manner or within hybrid systems to give best performance in terms of optimal design and computational efficiency. The papers span scientific, application, awareness/information dissemination and industrial requirements areas. They provide information on available search and optimization techniques and their application to specific design problems and across the field of manufacturing generally. Papers identifying and dealing with problems of incorporating novel optimization techniques within day-to-day design practice and industrial software requirements are also included. The book will thus be of interest to both the industrial and academic communities.

Editors and Affiliations

  • CEMS, University of the West of England, Bristol, UK

    Ian C. Parmee

  • Aeronautical Engineering and Mechanics, Rensselaer Polytechnic Institute, Troy, New York, USA

    Prabhat Hajela

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation