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Optimization in Industry

  • Ian C. Parmee
  • Prabhat Hajela

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Industrial Integration

  3. Problem Representation Issues

    1. Front Matter
      Pages 43-43
    2. Markus Olhofer, Toshiyuki Arima, Toyotaka Sonoda, Markus Fischer, Bernhard Sendhoff
      Pages 83-94
  4. Multi-objective Optimization

  5. Design Search and Exploration

  6. General Applications

  7. The Right Tools for the Job

    1. Front Matter
      Pages 277-277
    2. T. Barth, G. Schneider, M. Stettner, M. Grauer, H. Hoernlein, E. Kereku
      Pages 289-301
    3. Manuel Paredes, Marc Sartor, Jean-Christophe Wahl
      Pages 315-326
  8. Discussion Papers

    1. Front Matter
      Pages 327-327
    2. Steve Wiseall
      Pages 329-332
    3. Prabhat Hajela
      Pages 333-336
    4. R. J. Balling
      Pages 337-338
    5. John Bull
      Pages 339-340
  9. Back Matter
    Pages 341-341

About these proceedings

Introduction

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.

Keywords

algorithm algorithms calibration control engineering design evolution evolutionary algorithm evolutionary computation evolutionary strategies genetic algorithms multi-objective optimization navigation optimization proving strategy

Editors and affiliations

  • Ian C. Parmee
    • 1
  • Prabhat Hajela
    • 2
  1. 1.CEMSUniversity of the West of EnglandBristolUK
  2. 2.Aeronautical Engineering and MechanicsRensselaer Polytechnic InstituteTroy, New YorkUSA

Bibliographic information

Industry Sectors
Materials & Steel
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering