Evolutionary Design and Manufacture

1. Front Matter

   Pages I-XI

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2. Engineering Design Applications

   1. Front Matter

      Pages 1-1

      PDF

   2. Optimization of Power Plant Design: Stochastic and Adaptive Solution Concepts

      • Claus Hillermeier, Steffen Hüster, Wolfgang Märker, Thomas F. Sturm

      Pages 3-18

   3. Intelligent Searcher for the Configuration of Power Transmission Shafts in Gearboxes

      • S. D. Santillán-Gutiérrez, G. Olivares-Guajardo, V. Borja-Ramírez, M. López-Parra, L. A. González-González

      Pages 19-32

   4. Post-Processing of the Two-Dimensional Evolutionary Structural Optimisation Topologies

      • H. Kim, O. M. Querin, G. P. Steven

      Pages 33-44

   5. Optimisation of a Stator Blade Used in a Transonic Compressor Cascade with Evolution Strategies

      • Markus Olhofer, Bernhard Sendhoff, Toshiyuki Arima, Toyotaka Sonoda

      Pages 45-54

   6. Mixed-Integer Evolution Strategy for Chemical Plant Optimization with Simulators

      • Michael Emmerich, Monika Grötzner, Bernd Groß, Martin Schütz

      Pages 55-67

   7. Advantages in Using a Stock Spring Selection Tool that Manages the Uncertainty of the Designer Requirements

      • Manuel Paredes, Marc Sartor, Cédric Masclet

      Pages 69-80

3. General Design Applications

   1. Front Matter

      Pages 81-81

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   2. Designing Food with Bayesian Belief Networks

      • David Corney

      Pages 83-94

   3. Flexible Ligand Docking Using a Robust Evolutionary Algorithm

      • Jinn-Moon Yang, Cheng-Yan Kao

      Pages 95-106

   4. Network Design Techniques Using Adapted Genetic Algorithms

      • Mitsuo Gen, Runwei Cheng, Shmuel S. Oren

      Pages 107-120

4. Design Representation Issues

   1. Front Matter

      Pages 121-121

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   2. Adaptive Techniques for Evolutionary Topological Optimum Design

      • Hatem Hamda, Marc Schoenauer

      Pages 123-136

   3. Representation in Architectural Design Tools

      • Una-May O’Reilly, Peter Testa

      Pages 137-148

   4. Fitting of Constrained Feature Models to Poor 3D Data

      • C. Robertson, R. B. Fisher, N. Werghi, A. P. Ashbrook

      Pages 149-160

   5. Exploring Component-based Representations - The Secret of Creativity by Evolution?

      • Peter J. Bentley

      Pages 161-172

5. Manufacturing Applications

   1. Front Matter

      Pages 173-173

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   2. Evolutionary Design of Facilities Considering Production Uncertainty

      • Alice E. Smith, Bryan A. Norman

      Pages 175-186

   3. A Fuzzy Clustering Evolution Strategy and its Application to Optimisation of Robot Manipulator Movement

      • J. C. W. Sullivan, B. Carse, A. G. Pipe

      Pages 187-198

The fourth evolutionary/adaptive computing conference at the University of Plymouth again explores the utility of various evolutionary/adaptive search algorithms and complementary computational intelligence techniques within design and manufacturing. The content of the following chapters represents a selection of the diverse set of papers presented at the conference that relate to both engineering design and also to more general design areas. This expansion has been the result of a conscious effort to recognise generic problem areas and complementary research across a wide range of design and manufacture activity. There has been a major increase in both research into and utilisation of evolutionary and adaptive systems within the last two years. This is reflected in the establishment of major annual joint US genetic and evolutionary computing conferences and the introduction of a large number of events relating to the application of these technologies in specific fields. The Plymouth conference remains a long-standing. event both as ACDM and as the earlier ACEDC series. The conference maintains its policy of single stream presentation and associated poster and demonstrator sessions. The event retains the support of several UK Engineering Institutions and is now recognised by the International Society for Genetic and Evolutionary Computation as a mainstream event. It continues to attract an international audience of leading researchers and practitioners in the field.

• 3D
• Manufacturing
• algorithms
• computer-aided design (CAD)
• engineering design
• fuzzy
• modeling
• optimization
• robot
• robotics
• complexity
• algorithm analysis and problem complexity

• Engineering Design Centre, University of Plymouth, Plymouth Devon, UK

  I. C. Parmee

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