The 2nd International Conference on Evolutionary Multi-Criterion Optimi- tion (EMO 2003) was held on April 8 11, 2003, at the University of the Algarve in Faro, Portugal. This was the second international conference dedicated en- rely to this important topic, following the very successful EMO 2001 conference, whichwasheldinZuric h,Switzerland,inMarch2001.EMO2003wasco-located with the IFAC International Conference on Intelligent Control Systems and S- nal Processing (ICONS 2003), exposing EMO to a wider audience of scientists and engineers. The EMO 2003 scienti?c program included two keynote addresses, one given byDavidScha?eronoptimizationandmachinelearninginindustry,andanother delivered by Pekka Korhonen on multiple-criteria decision making. In addition, three tutorials were presented, one on multicriterion decision analysis by - lerie Belton, another on multiobjective evolutionary algorithms by Kalyanmoy Deb, and a third on multiple objective metaheuristics by Andrzej Jaszkiewicz. The President of the Portuguese Innovation Agency, Prof. Jo ao Silveira Lobo, and the President of the Portuguese Foundation for Science and Technology, Prof. Fernando Ramoa Ribeiro, attended the opening ceremony and the closing ceremony, respectively. In response to the call for papers, 100 full-length papers were submitted from 27 countries. Fifty-six papers were accepted for presentation at the conference after thorough reviewing by members of the program committee and they are contained in this volume. April 2003 Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele Organization EMO 2003 was organized by CSI (Centre for Intelligent Systems, University of the Algarve, Portugal) with the support of EvoNet (European Network of Excellence in Evolutionary Computing).

Objective Handling and Problem Decomposition

The Maximin Fitness Function; Multi-objective City and Regional Planning
Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation
Is Fitness Inheritance Useful for Real-World Applications?
Use of a Genetic Heritage for Solving the Assignment Problem with Two Objectives
Fuzzy Optimality and Evolutionary Multiobjective Optimization
IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts
A Population and Interval Constraint Propagation Algorithm
Multi-objective Binary Search Optimisation
Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques
An Adaptive Divide-and-Conquer Methodology for Evolutionary Multi-criterion Optimisation
Multi-level Multi-objective Genetic Algorithm Using Entropy to Preserve Diversity
Solving Hierarchical Optimization Problems Using MOEAs
Multiobjective Meta Level Optimization of a Load Balancing Evolutionary Algorithm
Algorithm Improvements
Schemata-Driven Multi-objective Optimization
A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization
Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach
Online Adaptation
The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization
Self-Adaptation for Multi-objective Evolutionary Algorithms
MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems
Test Problem Construction
Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem
Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems
Performance Analysis and Comparison
A New MOEA for Multi-objective TSP and Its Convergence Property Analysis
Convergence Time Analysis for the Multi-objective Counting Ones Problem
Niche Distributions on the Pareto Optimal Front
Performance Scaling of Multi-objective Evolutionary Algorithms
Searching under Multi-evolutionary Pressures
Minimal Sets of Quality Metrics
A Comparative Study of Selective Breeding Strategies in a Multiobjective Genetic Algorithm
An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms
Alternative Methods
Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem
Solving Multi-criteria Optimization Problems with Population-Based ACO
A Two-Phase Local Search for the Biobjective Traveling Salesman Problem
Implementation
PISA - A Platform and Programming Language Independent Interface for Search Algorithms
A New Data Structure for the Nondominance Problem in Multi-objective Optimization
The Measure of Pareto Optima Applications to Multi-objective Metaheuristics
Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms
Applications
Multiobjective Capacitated Arc Routing Problem
Multi-objective Rectangular Packing Problem and Its Applications
Experimental Genetic Operators Analysis for the Multi-objective Permutation Flowshop
Modification of Local Search Directions for Non-dominated Solutions in Cellular Multiobjective Genetic Algorithms for Pattern Classification Problems
Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems
Identificationof Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms
Non-invasive Atrial Disease Diagnosis Using Decision Rules: A Multi-objective Optimization Approach
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
Multiobjective Evolutionary Algorithms Applied to the Rehabilitation of a Water Distribution System: A Comparative Study
Optimal Design of Water Distribution System by Multiobjective Evolutionary Methods
Evolutionary Multiobjective Optimization in Watershed Water Quality Management
Different Multi-objective Evolutionary Programming Approaches for Detecting Computer Network Attacks
Safety Systems Optimum Design by Multicriteria Evolutionary Algorithms
Applications of a Multi-objective Genetic Algorithm to Engineering Design Problems
A Real-World Test Problem for EMO Algorithms
Genetic Methods in Multi-objective Optimization of Structures with an Equality Constraint on Volume
Multi-criteria Airfoil Design with Evolution Strategies
Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map.