Advances in Soft Computing Engineering Design and Manufacturing

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 Manuf...

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Bibliographic Details
Other Authors: Roy, Rajkumar (Editor), Furuhashi, Takeshi (Editor), Chawdhry, Pravir K. (Editor)
Format: eBook
Language:English
Published: London Springer London 1999, 1999
Edition:1st ed. 1999
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Granular Computing using Neighborhood Systems
  • Toward Fuzziness in Natural Language Processing
  • A New Approach to Acquisition of Comprehensible Fuzzy Rules
  • Zero-Point Probability for Linear Source Separation
  • Code Optimization for DNA Computing of Maximal Cliques
  • 10: Summary of Tutorials
  • On Line Tutorials on Evolutionary Computing
  • Fuzzy Control Tutorial
  • 11: Summary of Discussion
  • 11: Summary of Discussion
  • Keyword Index
  • List of Reviewers
  • Decomposition of a Fuzzy Controller Based on Inference Break-up Method
  • 4: Identification and Modelling
  • Experimental Evaluation of Intelligent Identification Algorithms Applied to a Wind Tunnel Process
  • Improvement of Membership Function Identification Method in Usability and Precision
  • General Parameter Radial Basis Function Neural Network Based Adaptive Fuzzy Systems
  • Uneven Division of Input Spaces for Hierarchical Fuzzy Modeling
  • Ensembles of Evolutionary created Artificial Neural Networks and Nearest Neighbour Classifiers
  • 5: Data Mining
  • Application of Multi-dimensional Fuzzy Analysis to Decision Making
  • Information-Theoretic Fuzzy Approach to Knowledge Discovery in Databases
  • Intelligent Electronic Catalogs for Sales Support — Introducing Case-Based Reasoning Techniques to on-line Product Selection Applications
  • AGenetic Algorithm for Generalized Rule Induction
  • 6: Optimisation
  • Multiobjective Optimization by Nessy Algorithm
  • 1: Keynote Papers
  • The NIST Design Repository Project
  • Evolving Connectionist and Fuzzy-Connectionist Systems for On-line Adaptive Decision Making and Control
  • Recent New Development in Evolutionary Programming
  • Emotional Image Retrieval with Interactive Evolutionary Computation
  • 2: Design Support Systems
  • Using Genetic Algorithms to Encourage Engineering Design Creativity
  • Abduction Problem in Probabilistic Constraint Logic Programming
  • Aspects of Evolutionary Design by Computers
  • Surface Optimisation within the CAD/CAM Environment using Genetic Algorithms
  • 3: Intelligent Control
  • Adaptive Sugeno Fuzzy Control: A Case Study
  • An Experimental and Comparative Study of Fuzzy PID Control Structures
  • An Accurate COG Defuzzifier Design Using the Coadaptation of Learning and Evolution
  • A Multiagent Intelligent Control System for Glass Industry
  • Predictive Control Using Fuzzy Models
  • Evolutionary Design of a Helicopter Autopilot
  • The Scout Algorithm applied to the Maximum Clique Problem
  • Unconstrained Optimization Using Genetic Box Search
  • Improvement of Simple Genetic Algorithm for Solving the Uncapacitated Warehouse Location Problem
  • Optimizing Neural Networks for Time Series Prediction
  • 7: Optimisation for Industrial Applications
  • Maximum Entropy Image Restoration by Evolutionary Algorithm
  • The Finite Element Method and Soft Computing
  • A Tabu Search Approach for the Tool Assignment and Machine Loading Problem in Flexible Manufacturing Systems
  • Investigating Evolutionary Optimisation of Constrained Functions to Capture Shape Descriptions from Range Data
  • Optimal Selection of Pressure Vessels
  • 8: New Topics in EA Basics
  • Simulation of Baldwin Effect and Dawkins Memes by Genetic Algorithm
  • Approach to Structure Synthesis by Genetic Algorithms
  • A Study of Altruism by Genetic Algorithm
  • The Bivariate Marginal Distribution Algorithm
  • 9: New Frontier for Soft Computing