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Soft Computing in Engineering Design and Manufacturing

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Cover of 'Soft Computing in Engineering Design and Manufacturing'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Neural Networks Optimization by means of Evolutionary Algorithms
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    Chapter 2 Fitness Causes Bloat
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    Chapter 3 Triune-Brain Inspired Unifying View of Intelligent Computation
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    Chapter 4 An Overview of Evolutionary Computing for Multimodal Function Optimisation
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    Chapter 5 Evolution of Cellular-automaton-based Associative Memories
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    Chapter 6 Simple Implementation of Genetic Programming by Column Tables
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    Chapter 7 XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions
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    Chapter 8 Designing Neural Networks using a Genetic Rule-based System
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    Chapter 9 A Neural Network for Real-World Postal Address Recognition
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    Chapter 10 Neural Processing in Semi-Rigid Connections of Steel Structures
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    Chapter 11 Evolutionary Design of Neural Trees for Heart Rate Prediction
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    Chapter 12 Hypertrapezoidal Fuzzy Membership Functions for Decision Aiding
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    Chapter 13 An Iterative Two-Phase Approach to Fuzzy System Design
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    Chapter 14 A Fuzzy Control Course on the Internet
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    Chapter 15 FUZOS — Fuzzy Operating System Support For Information Technology
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    Chapter 16 Industrial Application of Chaos Engineering
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    Chapter 17 A Genetic Method for Evolutionary Agents in a Competitive Environment
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    Chapter 18 Empirically-Derived Population Size and Mutation Rate Guidelines for a Genetic Algorithm with Uniform Crossover
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    Chapter 19 Analysis of Various Evolutionary Algorithms and the Classical Dumped Least Squares in the Optimization of the Doublet
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    Chapter 20 Genetic Programming with One-Point Crossover
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    Chapter 21 Evolutionary Tabu Search For Geometric Primitive Extraction
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    Chapter 22 Parallel Genetic Algorithms in the Optimization of Composite Structures
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    Chapter 23 M ijn Mutation Operator for Aerofoil Design Optimisation
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    Chapter 24 Design Problems with Soft Linear Constraints
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    Chapter 25 Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms
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    Chapter 26 Handling Probabilistic Uncertainty in Constraint Logic Programming
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    Chapter 27 A Voxel-Based Representation for the Evolutionary Shape Optimisation of a Simplified Beam: A Case-Study of a Problem-Centred Approach to Genetic Operator Design
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    Chapter 28 Comparison of Crossover Operators for Rural Postman Problem with Time Windows
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    Chapter 29 On Generating Optimum Configurations of Commuter Aircraft using Stochastic Optimisation
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    Chapter 30 Application of Genetic Algorithms to Packing Problems — A Review
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    Chapter 31 Generic Evolutionary Design
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    Chapter 32 Evolving Digital Logic Circuits on Xilinx 6000 Family FPGAs
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    Chapter 33 A Dialogue Module at the Conceptual Product Design Stage through Genetic Algorithm
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    Chapter 34 Soft vs. Hard Computational Issues in Configuration Design
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    Chapter 35 Airframe optimization based on structural evolution simulation by means of the GA and sequence of numerical models
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    Chapter 36 Simulated Evolution and Adaptive Search in Engineering Design — Experiences at the University of Cape Town
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    Chapter 37 A Genetic Algorithm Based Hybrid Channel Allocation Scheme
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    Chapter 38 Solving Scheduling Problems via Evolutionary Methods for Rule Sequence Optimization
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    Chapter 39 Estimation of Geometrical Parameters of Drill Point by Combining Genetic Algorithm and Gradient Method
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    Chapter 40 Adaptability by Behavior Selection and Observation for Mobile Robots
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    Chapter 41 Application-Based Time Tabling by Genetic Algorithm
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    Chapter 42 A Novel Self-organising Neural Network for Control Chart Pattern Recognition
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    Chapter 43 Neuro-Fuzzy Control Based on the NEFCON-Model Under MATLAB/SIMULINK
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    Chapter 44 An Optimal COG Defuzzification Method for A Fuzzy Logic Controller
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    Chapter 45 Automatic Structuring of Unknown Dynamic Systems
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    Chapter 46 Takagi-Sugeno Fuzzy Control of Batch Polymerization Reactors
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    Chapter 47 Genetic Algorithms and Evolution Strategies Applied in Identification and Control: Case Study
Overall attention for this book and its chapters
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Mentioned by

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1 Wikipedia page

Citations

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Readers on

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20 Mendeley
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Title
Soft Computing in Engineering Design and Manufacturing
Published by
Springer Science & Business Media, January 1998
DOI 10.1007/978-1-4471-0427-8
ISBNs
978-3-54-076214-0, 978-1-4471-0427-8
Editors

Chawdhry, P. K., Roy, R., Pant, R. K.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Student > Master 5 25%
Student > Doctoral Student 3 15%
Researcher 3 15%
Professor 2 10%
Other 1 5%
Readers by discipline Count As %
Engineering 13 65%
Computer Science 3 15%
Economics, Econometrics and Finance 1 5%
Social Sciences 1 5%
Mathematics 1 5%
Other 1 5%