This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001.The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions.

Tutorials.- Some Methods for Nonlinear Multi-objective Optimization.- A Short Tutorial on Evolutionary Multiobjective Optimization.- Invited Talks.- An Overview in Graphs of Multiple Objective Programming.- Poor-Definition, Uncertainty, and Human Factors - Satisfying Multiple Objectives in Real-World Decision-Making Environments.- Algorithm Improvements.- Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence.- Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms.- Adapting Weighted Aggregation for Multiobjective Evolution Strategies.- Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons.- A Micro-Genetic Algorithm for Multiobjective Optimization.- Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions.- Multi-objective Optimisation Based on Relation Favour.- Performance Assessment and Comparison.- Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy.- On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization.- Global Multiobjective Optimization with Evolutionary Algorithms: Selection Mechanisms and Mutation Control.- Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function.- A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II.- Performance of Multiple Objective Evolutionary Algorithms on a Distribution System Design Problem - Computational Experiment.- Constraint Handling and Problem Decomposition.- An Infeasibility Objective for Use in Constrained Pareto Optimization.- Reducing Local Optima in Single-Objective Problems by Multi-objectivization.- Constrained Test Problems for Multi-objective Evolutionary Optimization.- Constraint Method-Based Evolutionary Algorithm (CMEA) for Multiobjective Optimization.- Uncertainty and Noise.- Pareto-Front Exploration with Uncertain Objectives.- Evolutionary Multi-objective Ranking with Uncertainty and Noise.- Hybrid and Alternative Methods.- Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective Optimization.- Bi-Criterion Optimization with Multi Colony Ant Algorithms.- Multicriteria Evolutionary Algorithm with Tabu Search for Task Assignment.- A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design.- Fuzzy Evolutionary Hybrid Metaheuristic for Network Topology Design.- A Hybrid Evolutionary Approach for Multicriteria Optimization Problems: Application to the Flow Shop.- The Supported Solutions Used as a Genetic Information in a Population Heuristic.- Scheduling.- Multi-objective Flow-Shop: Preliminary Results.- Pareto-Optimal Solutions for Multi-objective Production Scheduling Problems.- Comparison of Multiple Objective Genetic Algorithms for Parallel Machine Scheduling Problems.- Applications.- A Bi-Criterion Approach for the Airlines Crew Rostering Problem.- Halftone Image Generation with Improved Multiobjective Genetic Algorithm.- Microchannel Optimization Using Multiobjective Evolution Strategies.- Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms.- Application of Multi Objective Evolutionary Algorithms to Analogue Filter Tuning.- Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach.- Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy.- Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data.- Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources.- Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms.- Multiobjective Optimization of Mixed Variable Design Problems.- Aerodynamic Shape Optimization of Supersonic Wings by Adaptive Range Multiobjective Genetic Algorithms.- Accurate, Transparent, and Compact Fuzzy Models for Function Approximation and Dynamic Modeling through Multi-objective Evolutionary Optimization.- Multi-objective Evolutionary Design of Fuzzy Autopilot Controller.- The Niched Pareto Genetic Algorithm 2 Applied to the Design of Groundwater Remediation Systems.- MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning.