Computational Intelligence assisted Design in Industrial Revolution 4.0

Description

Preface......Page 4 Contents......Page 6 Acronyms......Page 16 History of Computational Intelligence......Page 17 On the Way to Industry 4.0......Page 29 Need for Computational Intelligence in Design and Engineering......Page 31 Terms and Definitions......Page 32 Specialized and Application Areas......Page 34 Information Sources......Page 35 How to Use This Book......Page 37 Problems......Page 38 --- Hands-on Learning of CI......Page 39 Mimicking Natural Evolution......Page 41 Breading Engineering Solutions......Page 42 Nondeterministic Methods for Optimization and Machine Learning......Page 43 Nondeterministic Hill-Climbing......Page 44 Simulated Annealing......Page 48 Parallelism C—An Essential Step Towards Global Search......Page 50 Mutation and Crossover......Page 51 Coding, Genes and Chromosomes......Page 52 The Working Mechanism......Page 53 GAs Transform Exponential Problems to NP-Complete Problems......Page 54 Micro Genetic Algorithm......Page 61 Genetic Algorithm Using Mendel’s Principles......Page 63 Problems......Page 67 Preparation and Conditions of Use......Page 69 Tutorials and Coursework......Page 70 Summary......Page 71 Human Brain and Artificial Neural Networks Central Nervous System and Conventional Computer......Page 73 ‘Reproduce’ the Human Brain by Artificial Neural Networks......Page 74 Mathematical Models and Types of ANNs......Page 76 Knowledge Representation......Page 82 Learning Process......Page 83 Learning Paradigms......Page 84 Learning Algorithms Hebbian Learning......Page 88 Error-Correction Learning......Page 89 Darwinian Selective Learning and Darwin Machine......Page 95 Tutorials and Coursework......Page 96 Human Inference and Fuzzy Logic Human Inference and Fuzzy Systems......Page 98 Fuzzy Sets......Page 99 Membership Functions......Page 100 Fuzzy Logic and Decision Making......Page 101 Formation of Fuzzy Decision Signal......Page 103 Fuzzy Rule Base......Page 104 Measurements with Fuzzification and Scaling......Page 106 Defuzzification and Output Signals......Page 107 Tutorial and Coursework......Page 109 --- CIAD & Advanced CI Tools......Page 112 Introduction......Page 114 Optimal Engineering Design......Page 116 Difficulties with Conventional Optimization Methods......Page 118 Converting a Design Problem into a Simulation Problem......Page 119 Further Requirements on a CAD Environment......Page 120 Linking Intelligent Design with Manufacture......Page 121 Computational Intelligence Integrated Solver......Page 123 CIAD......Page 124 CIAE......Page 125 Intelligent Virtual Prototypes......Page 126 CIAM......Page 127 Cyber-Physical Design Integration for Industry 4.0......Page 128 Introduction......Page 130 Aggregating Approaches......Page 132 Pareto-Based Approaches......Page 133 Theory and Applications......Page 136 Multi-Objective Genetic Algorithm......Page 137 Particle Swarm Optimization......Page 139 Ant Colony Optimization......Page 141 Swarm Fish Algorithm Swarm Fish Algorithm with Variable Population......Page 144 Multi-Objective Artificial Swarm Fish Algorithm......Page 147 Case Study......Page 149 Conclusions......Page 151 Swarm Bat Algorithm......Page 152 Firefly Algorithm......Page 154 Artificial Dolphin Swarm Algorithm Introduction......Page 156 Dynamic Behaviors of Dolphins......Page 157 k-Nearest Neighbor Classification......Page 161 Swarm Dolphin Algorithm......Page 162 Introduction......Page 164 Architecture of a Neural Network Controller......Page 165 The Problem of Neurocontroller Design......Page 167 Globally Optimized Design Through a Genetic Algorithm   Difficultie with Conventional Neural Network Training  Methods......Page 168 Training with a Genetic Algorithm......Page 170 GA-based Design for Neural Control of a Linear Plant......Page 171 Training to Cope with Transport Delay......Page 174 Evolving the Architecture......Page 175 GA-Based Design for Neural Control of a Nonlinear Plant......Page 177 Evolving the Architecture......Page 180 Conclusions......Page 182 Introduction......Page 183 PI-Type Fuzzy Decision Making......Page 184 PID-Type Decision Making......Page 185 Decision-Making Parameters Membership Functions......Page 187 Fuzzy Rule Base......Page 188 Design Example for a Nonlinear System to Control......Page 189 Closed-loop Response......Page 191 Conclusion Closed-loop Response......Page 192 Introduction......Page 193 Metric Indices......Page 194 Measure of Fitness of Fitting—Coefficients of Determination......Page 196 Measure of Error Heterogeneity—Relative Gini Index......Page 198 The Mean Variables......Page 199 The Moving Mean Variables......Page 200 Pareto Reliability Index......Page 201 Pareto Risk Index......Page 202 Pareto Sensitivity Indices......Page 203 Normalization......Page 204 FPR Steps......Page 205 Fitness Functions......Page 206 Test Functions......Page 207 --- CIAD for Science & Technology......Page 226 Introduction......Page 228 Parameterization Method via Radial Basis Functions......Page 229 Adaptive Bathtub-Shaped Failure Rate Function......Page 231 Simulations and Discussion......Page 234 Conclusions and Future Work......Page 237 Notations......Page 238 Introduction......Page 239 THz-TDS Experimental Setup Sketch......Page 240 Statement of Mixture Component Determination......Page 241 Fitness Function Definition......Page 243 Uncertainty Studies......Page 244 Empirical Studies and Discussion......Page 246 Notations......Page 253 Application of Fuzzy Logic to Sliding Mode Control......Page 254 Fuzzy Switching Element for the SMC System......Page 255 Fuzzy PD SMC System with Integral Equivalent Control......Page 259 Fuzzy SMC System Designs Using a GA......Page 260 FSMC-I System with a Fuzzy Switching Element......Page 261 Closed-loop Response......Page 262 Closed-loop Response......Page 264 Fuzzy PD SMC System with Integral Equivalent Control......Page 267 Closed-loop Response......Page 269 Closed-loop Response......Page 271 Introduction......Page 273 Motorized Momentum Exchange Tether......Page 275 Payload Transfer......Page 277 Tether Strength Criterion......Page 279 Payload Transfer Objective Definition......Page 280 Simulations......Page 281 Conclusion and Future Work......Page 286 Introduction......Page 288 Structural Modeling......Page 289 Total Thermal Resistance......Page 290 Pressure Drop......Page 292 Experimental Setup......Page 293 Fitness Functions......Page 295 Empirical Results Simulations......Page 297 Verification......Page 300 Conclusions and Future Work......Page 302 Introduction......Page 303 Adaptive Bathtub-Shaped Functions......Page 304 Battery Capacity Prediction......Page 305 Fitness Function......Page 308 Simulation Results and Discussion......Page 309 Conclusion and Future Work......Page 313 Introduction......Page 315 Analytical Modeling......Page 317 Empirical Results and Discussion......Page 320 Conclusion and Future Work......Page 325 Notations......Page 326 Introduction......Page 327 HCMI Design Evaluation and Virtual Prototyping Through Simulation Models of the Emitter and Cylinder......Page 328 Coupled Constraint Optimization Problem......Page 330 Heuristic Methods and Improved GA Search Existing Heuristic Methods Tested......Page 331 Improved GA Search......Page 332 Case Studies......Page 334 Virtual Prototyping Results and Comparison Virtual Prototyping for Case 1 with a Default Emitter Search Results of the NM Method......Page 336 Search Results of the Generic GA......Page 337 Search Results of the PGA......Page 338 Virtual Prototyping for Case 2 with an Extended Emitter Search Results of the NM Simplex......Page 339 Search Results of the GA......Page 340 Search Results of the PGA......Page 341 Conclusion......Page 342 Introduction......Page 344 Two-Degree-of-Freedom Semi-Active Suspension System......Page 347 Sliding Mode Control with Skyhook Surface Scheme......Page 350 Fuzzy Logic Control......Page 352 Polynomial Function Supervising FaSMC—An Improvement......Page 356 Multi-objective Micro-GA for the Offline Step......Page 357 Offline Step......Page 360 Online Step......Page 361 Road Surface Profile—Modeling of the Source of Uncertainty......Page 362 Uncertainty Studies......Page 363 Simulations......Page 365 Conclusion and Future Work......Page 376 --- CIAD for Social Sciences......Page 377 Introduction......Page 379 Exchange Rate Determination Model......Page 380 Fitness Function of Regression Modeling......Page 381 Empirical Results and Discussion......Page 383 Conclusions and Future Work......Page 389 Introduction......Page 390 Quantitative Modeling of National Electricity Consumption......Page 394 Fitness Function......Page 395 Numerical Results......Page 396 Social, Economic and Environmental Impacts......Page 400 Conclusions and Future Work......Page 404 Introduction......Page 406 Modelling Intelligent Market Behaviors NETA Market Price Formulation......Page 407 Generator Gaming Strategies......Page 408 Intelligent Agents and Modeling......Page 411 Model Analysis & Verification......Page 414 Small-scale Model Simulation......Page 415 Large-scale Model Simulation......Page 417  Applications of the Model ......Page 418 Cooperative Strategy......Page 419 Conclusions......Page 422 Introduction......Page 424 Emission Estimation of Productive Activity......Page 425 Hybrid Modeling of the Functional Region......Page 429 Fitness Function......Page 430 Empirical Results and Discussion......Page 432 Conclusions and Future Work......Page 436 Introduction......Page 437 Spatial Modeling of the Functional Regions......Page 438 Fitness Function......Page 439 Empirical Results and Discussion......Page 440 Conclusions and Future Work......Page 445 Introduction......Page 447 Customization in Industry 4.0......Page 448 CPS with Data Analytics Framework for Smart Manufacturing......Page 449 Smart Products and Product Lifecycle for Industry 4.0......Page 450 Computational Intelligence for Customized Production......Page 451 Methodology and CIAD Approaches......Page 453 Fuzzy c-Means Approach......Page 454 Framework for Predicting Potential Customer Needs and Wants......Page 455 Case Study......Page 457 Discussion and Conclusion......Page 462 Refs......Page 463 Glossary......Page 502 Index......Page 503