Skip to main content
SpringerLink
Log in

Advances in Soft Computing

Engineering Design and Manufacturing

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Rajkumar Roy

    1. The CIM Institute, Cranfield University, Cranfield, Bedford, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Takeshi Furuhashi

    1. Department of Information Electronics, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Pravir K. Chawdhry

    1. School of Mechanical Engineering, University of Bath, Bath, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • A unique collection of research papers from leading experts around the world presented in one volume Innovative techniques on evolutionary design and optimisation are a main topic of the book The editors have received official recognition for their work within this field of research

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 129.00
Price excludes VAT (USA)
  • Available as 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

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (47 papers)

  1. Identification and Modelling

    1. Front Matter

      Pages 229-229
      Download chapter PDF

    2. Experimental Evaluation of Intelligent Identification Algorithms Applied to a Wind Tunnel Process

      • Leandro dos Santos Coelho, Antonio Augusto Rodrigues Coelho
      Pages 231-247

    3. Improvement of Membership Function Identification Method in Usability and Precision

      • Ayumi Yoshikawa
      Pages 248-259

    4. General Parameter Radial Basis Function Neural Network Based Adaptive Fuzzy Systems

      • Daouren F. Akhmetov, Yasuhiko Dote
      Pages 260-275

    5. Uneven Division of Input Spaces for Hierarchical Fuzzy Modeling

      • Kanta Tachibana, Takeshi Furuhashi
      Pages 276-285

    6. Ensembles of Evolutionary created Artificial Neural Networks and Nearest Neighbour Classifiers

      • Christoph M. Friedrich
      Pages 288-297

  2. Data Mining

    1. Front Matter

      Pages 299-299
      Download chapter PDF

    2. Application of Multi-dimensional Fuzzy Analysis to Decision Making

      • Alexandr A. Savinov
      Pages 301-314

    3. Information-Theoretic Fuzzy Approach to Knowledge Discovery in Databases

      • Oded Maimon, Abe Kandel, Mark Last
      Pages 315-326

    4. Intelligent Electronic Catalogs for Sales Support

      • Ivo Vollrath, Wolfgang Wilke, Ralph Bergmann
      Pages 327-339

    5. A Genetic Algorithm for Generalized Rule Induction

      • Alex A. Freitas
      Pages 340-353

  3. Optimisation

    1. Front Matter

      Pages 355-355
      Download chapter PDF

    2. Multiobjective Optimization by Nessy Algorithm

      • Mario Köppen, Stephan Rudlof
      Pages 357-368

    3. The Scout Algorithm applied to the Maximum Clique Problem

      • Fabio Abbattista, Francesco Bellifemine, Donato Dalbis
      Pages 369-378

    4. Unconstrained Optimization Using Genetic Box Search

      • S. Lozano, J. J. Domínguez, F. Guerrero, J. Larrañeta, L. Onieva
      Pages 379-389

    5. Improvement of Simple Genetic Algorithm for Solving the Uncapacitated Warehouse Location Problem

      • Jozef Kratica
      Pages 390-402

    6. Optimizing Neural Networks for Time Series Prediction

      • I. De Falco, A. Delia Cioppa, A. Iazzetta, P. Natale, E. Tarantino
      Pages 403-417

  4. Optimisation for Industrial Applications

    1. Front Matter

      Pages 419-419
      Download chapter PDF

    2. Maximum Entropy Image Restoration by Evolutionary Algorithm

      • Vitaly. G. Promislov
      Pages 421-431

    3. The Finite Element Method and Soft Computing

      • Larry Manevitz, Dan Givoli
      Pages 432-444
Back to top

Keywords

About this book

Advances in Soft Computing contains the most recent developments in the field of soft computing in engineering design and manufacture. The book comprises a selection of papers that were first presented in June 1998 at the 3rd On-line World Conference on Soft Computing in Engineering Design and Manufacturing. Amongst these are four invited papers by World-renowned researchers in the field. Soft computing is a collection of methodologies which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The area of applications of soft computing is extensive. Principally the constituents of soft computing are: fuzzy computing, neuro-computing, genetic computing and probabilistic computing. The topics in this book are well focused on engineering design an d manufacturing. This broad collection of 43 research papers, has been arranged into nine parts by the editors. These include: Design Support Systems, Intelligent Control, Data Mining and New Topics in EA basics. The papers on evolutionary design and optimisation are of particular interest. Innovative techniques are explored and the reader is introduced to new, highly advanced research results. The editors present a unique collection of papers that provide a comprehensive overview of current developments in soft computing research around the world.

Editors and Affiliations

  • The CIM Institute, Cranfield University, Cranfield, Bedford, UK

    Rajkumar Roy

  • Department of Information Electronics, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan

    Takeshi Furuhashi

  • School of Mechanical Engineering, University of Bath, Bath, UK

    Pravir K. Chawdhry

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation