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Soft Computing in Engineering Design and Manufacturing - Pravir K. Chawdhry

Soft Computing in Engineering Design and Manufacturing

By: Pravir K. Chawdhry (Editor), Rajkumar Roy (Editor), Raj K. Pant (Editor)

Paperback

Published: 19th November 1997
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Soft Computing has emerged as an important approach towards achieving intelligent computational paradigms where key elements are learning from experience in the presence of uncertainties, fuzzy belief functioos, and -evolutioo of the computing strategies of the learning agent itself. Fuzzy, neural and evolutionary computing are the three major themes of soft computing. The book presents original research papers dealing with the theory of soft computing and its applicatioos in engineering design and manufacturing. The methodologies have been applied to a large variety of real life problems. Applicatioo of soft computing has provided the opportunity to integrate human like 'vagueness' and real life 'uncertainty' to an otherwise 'hard' computer programme. Now, a computer programme can learn, adapt, and evolve using soft computing. The book identifies the strengths and Iimitatioos of soft cOOlputing techniques, particularly with reference to their engineering applications. The applications range fran design optimisatioo to scheduling and image analysis. Goal optimisatioo with incomplete infmnatioo and under uncertainty is the key to solving real-life problems in design and manufacturing. Soft computing techniques presented in this book address these issues. Computatiooal complexity and efficient implementatioo of these techniques are also major concerns for realising useful industrial applications of soft computing. The different parts in the book also address these issues. The book cootains 9 parts, 8 of which are based 00 papers fran the '2nd On-line World Conference 00 Soft Computing in Engineering Design and Manufacture (WSC2), .

Introduction
Artificial Neural Networks Optimization by means of Evolutionary Algorithmsp. 3
Fitness Causes Bloatp. 13
Triune Brain Inspired Unifying View of Intelligent Computationp. 23
An Overview of Evolutionary Computing for Multimodal Function Optimisationp. 30
Evolution of Cellular-automaton-based Associative Memoriesp. 40
Simple Implementation of Genetic Programming by Column Tablesp. 48
XCS Classifier System Reliably Evolves Accurate, Complete and Minimal Representations for Boolean Functionsp. 59
Designing Neural Networks using a Genetic Rule-based Systemp. 69
A Neural Network for Real-World Postal Address Recognitionp. 79
Neural Processing in Semi-Rigid Connections of Steel Structuresp. 84
Evolutionary Design of Neural trees for Heart Rate Predictionp. 93
Hypertrapezoidal Fuzzy Membership Functions for Decision Aidingp. 105
An Iterative Two-phase Approach to Fuzzy System Designp. 114
A fuzzy control course on Internetp. 122
FUZOS - Fuzzy Operating System Support for Information Technologyp. 131
Industrial Application of Chaos Engineeringp. 141
A Genetic Method for Evolutionary Agents in a Competitive Environmentp. 153
Empirically-Derived Population Size and Mutation Rate Guidelines for a Genetic Algorithm with Uniform Crossoverp. 163
Analysis of various evolutionary algorithms and the classical dumped least squares in the optimization of the doubletp. 173
Genetic Programming with One-Point Crossoverp. 180
Evolutionary Tabu Search for Geometric Primitive Extractionp. 190
Parallel Genetic Algorithms in the Optimization of Composite Structuresp. 199
Mijn Mutation Operator for Aerofoil Design Optimisationp. 211
Design Problems with Soft Linear Constraintsp. 221
Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithmsp. 231
Handing Probabilistic Uncertainty in Constraint Logic Programmingp. 241
A Voxel-based Representation for Evolutionary Shape Optimisation: A case-study of a problem-centred approach to operator designp. 251
A comparison of crossover for rural postman problem with time windowsp. 259
On Generating Optimum Configurations of Commuter Aircraft using Stochastic Optimisation Methodsp. 268
Application of Genetic Algorithms to Packing Problems - A Reviewp. 279
Generic Evolutionary Designp. 289
Evolving Digital Logic Circuits on Xilinx 6000 Family FPGAsp. 299
A Dialogue Module at the Conceptual Product Design Stage through Genetic Algorithmp. 306
Hard v. soft computing issues in configuration designp. 310
Airframe optimisation based on structural evolution simulation by means of the GA and sequence of numerical modelsp. 320
Simulated Evolution and Adaptive Search in Engineering Design - Experiences at the University of Cape Townp. 330
A Genetic Algorithm Based Hybrid Channel Allocation Schemep. 343
Solving Scheduling Problems via Evolutionary Methods for Rate Sequence Optimizationp. 350
Estimation of Geometrical Parameters of Drill Point by Combining Genetic Algorithm and Gradient Methodp. 356
Adaptability by Behaviour Selection and Observation for Mobile Robotsp. 363
Application-Based Time Tabling by Genetic Algorithmp. 371
A novel self-organising neural network for control chart pattern recognitionp. 381
Neuro-Fuzzy Control Based on the NEFCON-Model under MATLAB/SIMULINKp. 393
An Optimal COG Defuzzification Method for a Fuzzy Logic Controllerp. 401
Automatic Structuring of Unknown Dynamic Systemsp. 410
Takagi-Sugeno Fuzzy Control of Batch Polymerization Reactorsp. 420
Genetic Algorithms and Evolution Strategies Applied in Identification and Control: Case Studyp. 430
Keyword Indexp. 453
List of Reviewersp. 455
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540762140
ISBN-10: 3540762140
Audience: General
Format: Paperback
Language: English
Number Of Pages: 480
Published: 19th November 1997
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: GB
Dimensions (cm): 27.94 x 20.96  x 2.46
Weight (kg): 1.07