Soft Computing in Industrial Applications (eBook)

Title 2
Organization 8
Contents 18
Plenary Sessions 23
An Introduction to Multi-Objective Particle Swarm Optimizers 24
Introduction 24
Basic Concepts 25
An Introduction to Particle Swarm Optimization 26
Particle Swarm Optimization for Multi-Objective Problems 29
Future Research Paths 32
Conclusions 32
References 32
Direct Load Control in the Perspective of an Electricity Retailer – A Multi-Objective Evolutionary Approach 34
Introduction 34
A Multi-Objective Model for the Design of Load Control Actions 37
A Case Study and Illustrative Results 39
Conclusions 45
References 46
Tutorial 48
Evolutionary Approaches for Optimisation Problems 49
Evolutionary Computing 49
Systems 50
Objective Function 50
Search Space and Fitness Landscape 50
Optimisation 51
Optimisation Loop 52
Genetic Algorithms 53
Selection 55
Cross-Over 57
Mutation 58
Discussion 58
Schemata Theorem 59
Coding Problem 60
Genetic Programming 62
Selection 62
Cross-Over 63
Mutation 63
Ant Colony Optimisation 64
Particle Swarm Optimisation 69
Conclusions 71
References 71
Part I: Evolutionary Computation 73
Approaches for Handling Premature Convergence in CFG Induction Using GA 74
Introduction 74
Methodologies Adapted 76
Elite Mating Pool (EMP) Approach 77
Dynamic Application of Reproduction Operator (DARO) 78
The Language Set Used 79
Experimental Setup and Outcome 79
Conclusion 83
References 84
A Novel Magnetic Update Operator for Quantum Evolutionary Algorithms 86
Introduction 86
QEA 87
QEA Structure 88
Quantum Gates Assignment 88
Magnetic Update Operator 89
Parameter Tuning 92
Experimental Results 92
Conclusion 94
References 95
Improved Population-Based Incremental Learning in Continuous Spaces 96
Introduction 96
PBIL Algorithms 97
Performance Testing 101
Comparative Results 102
Conclusions and Discussion 104
References 105
Particle Swarm Optimization in the EDAs Framework 106
Introduction and Related Work 106
Particle Swarm Optimization 107
Estimation of Distribution Algorithms 109
Particle Swarm Estimation of Distribution Algorithm 110
Experiments 112
Conclusion and Future Work 114
References 115
Differential Evolution Based Bi-Level Programming Algorithm for Computing Normalized Nash Equilibrium 116
Introduction 116
Nash Equilibrium and the GNEP 117
Nikaido Isoda Function 118
Solution Approaches for the GNEP 118
A Bi-Level Programming Approach for GNEPs 118
Differential Evolution for Bi-Level Programming 119
Numerical Examples 121
Problem 1 121
Problem 2 121
Problem 3 122
Problem 4 122
Problems 5a and 5b 122
Results 123
Conclusions 124
References 124
Part II: Fuzzy Control and Neuro-Fuzzy Systems 126
Estimating CO Conversion Values in the Fischer-Tropsch Synthesis Using LoLiMoT Algorithm 127
Introduction 127
Experimental Studies 129
Catalyst Preparation 129
Catalyst Testing 129
Kinetic Experimental Data 130
Modeling Study 130
Local Linear Neuro-Fuzzy Network 130
Locally Linear Model Tree 130
Results and Discussion 132
Conclusions 135
References 135
Global Optimization Using Space-Filling Curves and Measure-Preserving Transformations 138
Introduction 138
Auxiliary Theoretical Results 140
Fuzzy Adaptive Simulated Annealing 143
Proposed Algorithm 144
Experiments 145
Conclusions 146
References 147
Modelling Copper Omega Type Coriolis Mass Flow Sensor with an Aid of ANFIS Tool 148
Introduction 148
Adaptive Network Based Fuzzy Inference System (ANFIS) 150
ANFIS/Neural Network Modeling of Phase Shift 151
Experimental Test Conditions 152
Results and Discussions 153
Conclusion 156
References 157
Gravitational Search Algorithm-Based Tuning of Fuzzy Control Systems with a Reduced Parametric Sensitivity 158
Introduction 159
Optimization Problems: Definition and GSA-Based Solving 159
Case Study and Discussion of Results 162
Conclusions 165
References 165
Application of Fuzzy Logic in Preference Management for Detailed Feedbacks 168
Introduction 168
Related Work 169
Fuzzy Model and Uncertainty 170
Modeling Detailed Feedback 171
Experiments 173
Comparisons of Reputation Models 174
Comparison of Shopping Recommendations 176
Conclusions and Future Work 177
References 177
Negative Biofeedback for Enhancing Proprioception Training on Wobble Boards 179
Introduction 179
System Hardware 181
Inertial Measurement Unit (IMU) 181
Wobble Board 182
Vibrotactor Feedback Control Module (VFCM) 182
Experimental Method 182
Measurements and Data Collection 183
Results 184
Discussion and Conclusion 186
References 187
Part III: Bio-inspired Systems 189
TDMA Scheduling in Wireless Sensor Network Using Artificial Immune System 190
Introduction 190
Artificial Immune System 191
Definition of TDMA Scheduling 192
AIS for TDMA Scheduling 193
Antibody Representation 194
Mutation Operators 194
Antibody Diversification 196
Fitness Evaluation 196
Experimental Setup and Simulation 197
Conclusion 199
References 200
A Memetic Algorithm for Solving the Generalized Minimum Spanning Tree Problem 201
Introduction 201
The Memetic Algorithm for Solving the Generalized Minimum Spanning Tree Problem 203
Genetic Representation 204
Initial Population 204
The Fitness Value 204
Genetic Operators 205
Genetic Parameters 206
Computational Results 206
Conclusions 207
References 208
A Computer Algorithm to Simulate Molecular Replication 209
Introduction 209
Replicators: An Introduction 210
Molecular Replication 210
Replicator Properties 212
An Algorithm to Simulate Replication 213
Structural Properties 215
Conditional Properties 216
Existential Properties 216
Experimental Analysis 216
Materials and Methods 216
Experimental Results 217
Conclusion 219
References 219
Part IV: Soft Computing for Modeling, Control, and Optimization 221
Particle Filter with Differential Evolution for Trajectory Tracking 222
Introduction 222
Particle Filter 223
Differential Evolution 224
Particle Filter Using Differential Evolution 226
Results 228
Conclusions 231
References 231
A Novel Normal Parameter Reduction Algorithm of Soft Sets 233
Introduction 233
Analysis of the Normal Parameter Reduction of Soft Sets 234
Soft Set Theory 234
The Normal Parameter Reduction of Soft Sets 234
Algorithm of Normal Parameter Reduction 235
A Novel Normal Parameter Reduction Algorithm 236
The Proposed Technique 236
The Proposed Algorithm 237
The Comparison Result 237
Conclusions 240
References 240
Integrating Cognitive Pairwise Comparison to Data Envelopment Analysis 242
Introduction 242
Cognitive Pairwise Comparisons 243
Data Envelopment Analysis 245
Numerical Example 247
Conclusion 248
References 248
On the Multi-mode, Multi-skill Resource Constrained Project Scheduling Problem – A Software Application 250
Introduction 250
Problem Description 252
Solution Details 253
Procedure Description 254
Application Development 255
Preliminary Results 257
Conclusions 258
References 258
Strict Authentication of Multimodal Biometric Images Using Near Sets 260
Introduction 260
Related Work 261
AnOverview 262
Near Sets and Nearness Approximation Spaces 262
Hash Functions 263
Advanced Encryption Standard 263
Proposed Scheme 264
Experimental Results 265
Conclusions 268
References 268
Part V: Soft Computing for Data Mining 270
Document Management with Ant Colony Optimization Metaheuristic: A Fuzzy Text Clustering Approach Using Pheromone Trails 271
Introduction 271
ACO Clustering Approach 273
Vector Representation of Documents and Similarity Measure 275
Evaluation and Implementation Issues 276
Conclusions 279
References 280
Support Vector Machine Ensemble Based on Feature and Hyperparameter Variation for Real-World Machine Fault Diagnosis 281
Introduction 282
Model-Free Approach to Motor Pump Fault Diagnosis 283
The Support Vector Machine Classifier 283
Feature Selection 284
Classifier Ensembles 284
Best Selected Feature Subsets Ensemble Method 285
The Classifier Overproduction Stage 286
The Ensemble Classifier Selection Stage 286
Experimental Results 287
Studied Classification Approaches 287
5×2 Cross-Validation Estimation Results 290
Conclusions and Future Work 291
References 291
Application of Data Mining Techniques in the Estimation of Mechanical Properties of Jet Grouting Laboratory Formulations over Time 293
Introduction 294
Materials and Jet Grouting Laboratory Data 295
Data Mining Models and Evaluation Measures 296
Data Mining Models 296
Evaluation Measures 297
Results of the Different Predictive Models 298
Conclusions and Future Works 300
References 301
Hybrid Intelligent Intrusion Detection Scheme 303
Introduction 304
An Overview 305
Restricted Boltzmann Machine 305
Deep Belief Network 306
Hybrid Intelligent Intrusion Detection Scheme 307
DBN Classifier 307
DBN-SVM Hybride Scheme 308
Experimental Results and Discussion 309
Dataset Characteristics 309
DBN Structure 310
Experiments and Analysis 310
Conclusion 311
References 312
Multi-Agent Association Rules Mining in Distributed Databases 314
Introduction 314
Overview of Basic Techniques Used in the Model 316
Distributed Data Mining and Multi-Agent Systems (MAS) 316
FIPA Agent Management Reference Model 316
Motivation 316
Multi-Agent Based Enhanced Algorithm 317
Model Compliance to Global Standards 318
Solution Architecture 318
Proposed MAS Algorithm and FIPA Messages between Agents 319
Model Experiments and Verification 320
Satisfying the Non Functional Requirements 321
Satisfying the Functional Requirements 321
Conclusion 322
References 323
Part VI: Soft Computing for Pattern Recognition 324
A Novel Initialization for Quantum Evolutionary Algorithms Based on Spatial Correlation in Images for Fractal Image Compression 325
Introduction 325
Quantum Evolutionary Algorithm 326
QEA Structure 327
Quantum Gates Assignment 328
Proposed Method 328
Coding 331
Experimental Results 331
Conclusion 333
References 333
Identification of Sound for Pass-by Noise Test in Vehicles Using Generalized Gaussian Radial Basis Function Neural Networks 334
Introduction 334
Radial Basis Function Neural Networks for Industrial Applications 336
Hybrid Evolutionary Algorithm 337
Experiments 338
Description of the Dataset and the Experimental Design 338
Comparison to Other Radial Basis Functions Neural Networks 340
Conclusions 342
References 342
Case Study of an Intelligent AMR Sensor System with Self-x Properties 344
Introduction 344
AMR Sensor with Embedded Actuators 346
Explanation of the Experimental Setup 348
Results and Discussion 350
Details of Intelligent System for Vehicle Recognition 350
The Implementation of Self-x Features 351
Conclusion 352
References 353
Part VII: Traffic and Transportation Systems 354
Application of Markov Decision Processes for Modeling and Optimization of Decision-Making within a Container Port 355
Introduction 356
Review of Markov Decision Processes (MDP) 357
Formalization of the Problem as a Markov Decision Processes 358
Solution and Interpretation 362
Conclusion 363
References 363
Calibration of Equilibrium Traffic Assignment Models and O-D Matrix by Network Aggregate Data 365
Introduction 365
Proposed Calibration Model 366
Algorithm for Problem Solution 368
Numerical Application 369
ModelResults 371
Conclusion and Further Research 372
References 373
A Fuzzy Logic-Based Methodology for Ranking Transport Infrastructures 374
Introduction and Background 374
Problem Statement 375
Benchmarking through a Fuzzy Inference System 376
FIS Input Parameters 376
FIS Logical Rules and Output 377
Algorithm Tuning 378
Application of the Methodology 378
Conclusions and Further Development of the Research 381
References 382
Transferability of Fuzzy Models of Gap-Acceptance Behavior 383
Introduction 383
Related Works 384
Experimental Data 385
Identification of Fuzzy Models 387
Transferability Analysis 390
Conclusions 393
References 393
Part VIII: Optimization Techniques 395
Logic Minimization of QCA Circuits Using Genetic Algorithms 396
Introduction 396
Background Material 398
QCA Circuit Optimization Using SO-GA 399
QCA Circuit Optimization Using MO-GA 401
Simulation Results 403
Conclusion 405
References 405
Optimization of Combinational Logic Circuits Using NAND Gates and Genetic Programming 407
Introduction 407
Proposed Approach 409
Chromosome Representation 409
Fitness Function 409
Mutation and crossover 411
Experimental Results 412
Conclusion 415
References 415
Electromagnetism-Like Augmented Lagrangian Algorithm for Global Optimization 417
Introduction 417
An Augmented Lagrangian Method 419
The Electromagnetism-Like Mechanism 421
Random Local Search 423
Hooke and Jeeves Local Search 423
Numerical Experiments 423
FinalRemarks 425
References 425
Multiobjective Optimization of a Quadruped Robot Locomotion Using a Genetic Algorithm 428
Introduction 428
Multiobjective Optimization 429
Problem Formulation 430
Optimization System 432
Simulation Results 433
Conclusions and Future Work 436
References 437
Author Index 438