| Tutorials | |
| Some Methods for Nonlinear Multi-objective Optimization | p. 1 |
| A Short Tutorial on Evolutionary Multiobjective Optimization | p. 21 |
| Invited Talks | |
| An Overview in Graphs of Multiple Objective Programming | p. 41 |
| Poor-Definition, Uncertainty and Human Factors-Satisfying Multiple Objectives in Real-World Decision-Making Environments | p. 52 |
| Algorithm Improvements | |
| Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence | p. 67 |
| Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms | p. 82 |
| Adapting Weighted Aggregation for Multiobjective Evolution Strategies | p. 96 |
| Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons | p. 111 |
| A Micro-Genetic Algorithm for Multiobjective Optimization | p. 126 |
| Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions | p. 141 |
| Multi-objective Optimisation Based on Relation Favour | p. 154 |
| Performance Assessment and Comparison | |
| Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy | p. 167 |
| On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization | p. 181 |
| Global Multiobjective Optimization with Evolutionary Algorithms: Selection Mechanisms and Mutation Control | p. 197 |
| Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function | p. 213 |
| A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-ü | p. 226 |
| Performance of Multiple Objective Evolutionary Algorithms on Distribution System Design Problem-Computational Experiment | p. 241 |
| Constraint Handling and Problem Decomposition | |
| An Infeasibility Objective for Use in Constrained Pareto Optimization | p. 256 |
| Reducing Local Optima in Single-Objective Problems by Multi-objectivization | p. 269 |
| Constrained Test Problems for Multi-objective Evolutionary Optimization | p. 284 |
| Constraint Method-Based Evolutionary Algorithm (CMEA) for Multiobjective Optimization | p. 299 |
| Uncertainty and Noise | |
| Pareto-Front Exploration with Uncertain Objectives | p. 314 |
| Evolutionary Multi-objective Ranking with Uncertainty and Noise | p. 329 |
| Hybrid and Alternative Methods | |
| Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective Optimization | p. 344 |
| Bi-Criterion Optimization with Multi Colony Ant Algorithms | p. 359 |
| Multicriteria Evolutionary Algorithm with Tabu Search for Task Assignment | p. 373 |
| A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design | p. 385 |
| Fuzzy Evolutionary Hybrid Metaheuristic for Network Topology Design | p. 400 |
| A Hybrid Evolutionary Approach for Multicriteria Optimization Problems: Application to the Flow Shop | p. 416 |
| The Supported Solutions Used as a Genetic Information in a Population Heuristics | p. 429 |
| Scheduling | |
| Multi-objective Flow-Shop: Preliminary Results | p. 443 |
| Pareto-Optimal Solutions for Multi-objective Production Scheduling Problems | p. 458 |
| Comparison of Multiple Objective Genetic Algorithms for Parallel Machine Scheduling Problems | p. 472 |
| Applications | |
| A Bi-Criterion Approach for the Airlines Crew Rostering Problem | p. 486 |
| Halftone Image Generation with Improved Multiobjective Genetic Algorithm | p. 501 |
| Microchannel Optimization Using Multiobjective Evolution Strategies | p. 516 |
| Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms | p. 531 |
| Application of Multi Objective Evolutionary Algorithms to Analogue Filter Tuning | p. 546 |
| Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach | p. 560 |
| Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy | p. 574 |
| Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data | p. 588 |
| Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources | p. 603 |
| Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms | p. 612 |
| Multiobjective Optimization of Mixed Variable Design Problems | p. 624 |
| Aerodynamic Shape Optimization of Supersonic Wings by Adaptive Range Multiobjective Genetic Algorithms | p. 639 |
| Accurate, Transparent, and Compact Fuzzy Models for Function Approximation and Dynamic Modeling through Multi-objective Evolutionary Optimization | p. 653 |
| Multi-objective Evolutionary Design of Fuzzy Autopilot Controller | p. 668 |
| The Niched Pareto Genetic Algorithm 2 Applied to the Design of Groundwater Remediation Systems | p. 681 |
| MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning | p. 696 |
| Author Index | p. 711 |
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