| Introduction | p. 1 |
| Definition | p. 1 |
| Multiobjective Optimization | p. 5 |
| Preview of Chapters | p. 6 |
| Review of MOEAs | p. 9 |
| Introduction | p. 9 |
| Survey of MOEAs | p. 10 |
| Development Trends | p. 14 |
| Outline of Algorithms | p. 15 |
| Conclusions | p. 29 |
| Conceptual Framework and Distribution Preservation Mechanisms for MOEAs | p. 31 |
| Introduction | p. 31 |
| A Conceptual Framework | p. 31 |
| Individual Assessment | p. 32 |
| Elitism | p. 34 |
| Density Assessment | p. 36 |
| Distribution Preservation Mechanisms | p. 38 |
| Performance Metrics on Distribution Quality | p. 38 |
| Evaluation and Comparison | p. 42 |
| Conclusions | p. 49 |
| Decision Supports and Advanced Features for MOEAs | p. 51 |
| Introduction | p. 51 |
| Domination Scheme | p. 51 |
| Pareto-based Domination with Goal Information | p. 52 |
| Goal-Sequence Domination Scheme with Soft/Hard Priority Specifications | p. 53 |
| Optimization with Soft/Hard Constraints | p. 57 |
| Logical Connectives Among Goal and Priority Specifications | p. 58 |
| A Multiobjective Evolutionary Algorithm | p. 59 |
| Dynamic Sharing Distance | p. 59 |
| MOEA Program Flowchart | p. 61 |
| Convergence Trace for MO Optimization | p. 63 |
| Simulation Studies | p. 64 |
| Conclusions | p. 73 |
| Dynamic Population Size and Local Exploration for MOEAs | p. 75 |
| Introduction | p. 75 |
| Incrementing Multiobjective Evolutionary Algorithm | p. 76 |
| Dynamic Population Size | p. 76 |
| Fuzzy Boundary Local Perturbation | p. 77 |
| Program Flowchart of IMOEA | p. 81 |
| Simulation Studies | p. 83 |
| Conclusions | p. 89 |
| A Distributed Cooperative Coevolutionary Multiobjective Algorithm | p. 91 |
| Introduction | p. 91 |
| A Cooperative Coevolutionary Algorithm | p. 92 |
| Coevolution Mechanism | p. 92 |
| Adaptation of Cooperative Coevolution for MO Optimization | p. 93 |
| Extending Operator | p. 95 |
| Flowchart of CCEA | p. 96 |
| A Distributed Cooperative Coevolutionary Algorithm | p. 97 |
| Distributed Evolutionary Computing | p. 97 |
| A Distributed CCEA (DCCEA) | p. 98 |
| Implementation of DCCEA | p. 99 |
| Workload Balancing | p. 102 |
| Simulation Studies | p. 102 |
| Performance Metrics | p. 102 |
| MO Test Problems | p. 103 |
| Simulation Results of CCEA | p. 103 |
| Simulation Results of DCCEA | p. 107 |
| Conclusions | p. 110 |
| Learning the Search Range in Dynamic Environments | p. 111 |
| Introduction | p. 111 |
| Adaptive Search Space | p. 112 |
| Simulation Studies | p. 114 |
| Single-Objective Optimization | p. 114 |
| Multiobjective Optimization I | p. 119 |
| Multiobjective Optimization II | p. 120 |
| Conclusions | p. 122 |
| Performance Assessment and Comparison of MOEAs | p. 125 |
| Introduction | p. 125 |
| MO Performance Metrics | p. 125 |
| MO Test Problems | p. 127 |
| Test Problems of ZDT1, ZDT2, ZDT3, ZDT4, and ZDT6 | p. 129 |
| Test Problems of FON, KUR, and POL | p. 131 |
| Test Problem of TLK | p. 132 |
| Test Problem of TLK2 | p. 133 |
| Simulation Studies | p. 134 |
| Conclusions | p. 148 |
| A Multiobjective Evolutionary Algorithm Toolbox | p. 151 |
| Introduction | p. 151 |
| Roles and Features of MOEA Toolbox | p. 152 |
| GUIs of MOEA Toolbox | p. 152 |
| Advanced Settings | p. 159 |
| "Model" File | p. 162 |
| Conclusions | p. 164 |
| Evolutionary Computer-Aided Control System Design | p. 165 |
| Introduction | p. 165 |
| Performance-based Design Unification and Automation | p. 166 |
| Design Architecture | p. 166 |
| Control System Formulation | p. 167 |
| Performance Specifications | p. 168 |
| Evolutionary ULTIC Design Application | p. 173 |
| Conclusions | p. 182 |
| Evolutionary Design Automation of Multivariable QFT Control System | p. 183 |
| Introduction | p. 183 |
| Problem Formulation | p. 185 |
| Overview of Tracking and Cross-Coupling Specifications | p. 185 |
| MO QFT Design Formulation | p. 187 |
| MIMO QFT Control Problem | p. 193 |
| Conclusions | p. 202 |
| Evolutionary Design of HDD Servo Control System | p. 203 |
| Introduction | p. 203 |
| The Physical HDD Model | p. 204 |
| Design of HDD Servo Control System | p. 206 |
| The HDD Design Specifications | p. 206 |
| Evolutionary Design | p. 208 |
| Conventional Controllers | p. 211 |
| Robustness Validation | p. 213 |
| Real-Time Implementation | p. 216 |
| Conclusions | p. 217 |
| Evolutionary Scheduling - VRPTW | p. 219 |
| Introduction | p. 219 |
| The Problem Formulation | p. 221 |
| Problem Modeling of VRPTW | p. 221 |
| Solomon's 56 Benchmark Problems for VRPTW | p. 224 |
| A Hybrid Multiobjective Evolutionary Algorithm | p. 226 |
| Multiobjective Evolutionary Algorithms in Combinatorial Applications | p. 227 |
| Program Flowchart of HMOEA | p. 227 |
| Variable-Length Chromosome Representation | p. 229 |
| Specialized Genetic Operators | p. 230 |
| Pareto Fitness Ranking | p. 232 |
| Local Search Exploitation | p. 234 |
| Simulation Results and Comparisons | p. 235 |
| System Specification | p. 235 |
| MO Optimization Performance | p. 235 |
| Specialized Operators and Hybrid Local Search Performance | p. 239 |
| Performance Comparisons | p. 241 |
| Conclusions | p. 247 |
| Evolutionary Scheduling - TTVRP | p. 249 |
| Introduction | p. 249 |
| The Problem Scenario | p. 250 |
| Modeling the Problem Scenarios | p. 251 |
| Mathematical Model | p. 253 |
| Generation of Test Cases | p. 256 |
| Computation Results | p. 258 |
| MO Optimization Performance | p. 259 |
| Computation Results for TEPC and LTTC | p. 265 |
| Comparison Results | p. 268 |
| Conclusions | p. 271 |
| Bibliography | p. 273 |
| Index | p. 293 |
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