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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
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