Dagstuhl Seminar Proceedings, Volume 4461,

• Jürgen Branke, Deb Kalyanmoy, Kaisa Miettinen, and Ralph E. Steuer 04461 Abstracts Collection – Practical Approaches to Multi-Objective Optimization 10.4230/DagSemProc.04461.1
• Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, and Ralph E. Steuer 04461 Summary – Practical Approaches to Multi-Criterion Optimization 10.4230/DagSemProc.04461.2
• Jörg Fliege, Christoph Heermann, and Bernd Weyers A New Adaptive Algorithm for Convex Quadratic Multicriteria Optimization 10.4230/DagSemProc.04461.3
• Sanaz Mostaghim and Jürgen Teich A New Approach on Many Objective Diversity Measurement 10.4230/DagSemProc.04461.4
• Kalyanmoy Deb A Tutorial on Evolutionary Multi-Objective Optimization (EMO) 10.4230/DagSemProc.04461.5
• Marco Laumanns, Lothar Thiele, and Eckart Zitzler An Adaptive Scheme to Generate the Pareto Front Based on the Epsilon-Constraint Method 10.4230/DagSemProc.04461.6
• Thomas Hanne Application Issues for Multiobjective Evolutionary Algorithms 10.4230/DagSemProc.04461.7
• Alexander Lotov Approximation and Visualization of Pareto Frontier in the Framework of Classical Approach to Multi-Objective Optimization 10.4230/DagSemProc.04461.8
• Carlos A. Coello Coello Current Status of the EMOO Repository, Including Current and Future Research Trends 10.4230/DagSemProc.04461.9
• Hisao Ishibuchi Effects of Crossover Operations on the Performance of EMO Algorithms 10.4230/DagSemProc.04461.10
• Felix Streichert, Holger Ulmer, and Andreas Zell Hybrid Representations for Composition Optimization and Parallelizing MOEAs 10.4230/DagSemProc.04461.11
• Roman Slowinski, Salvatore Greco, and Vincent Mousseau Multi-criteria ranking of a finite set of alternatives using ordinal regression and additive utility functions - a new UTA-GMS method 10.4230/DagSemProc.04461.12
• Hirotaka Nakayama Multi-objective Optimization and its Engineering Applications 10.4230/DagSemProc.04461.13
• Carlos M. Fonseca and Peter J. Fleming Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms 10.4230/DagSemProc.04461.14
• Enrico Rigoni and Silvia Poles NBI and MOGA-II, two complementary algorithms for Multi-Objective optimizations 10.4230/DagSemProc.04461.15
• Oliver Schütze, Alessandro Dell'Aere, and Michael Dellnitz On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems 10.4230/DagSemProc.04461.16
• Pradyumn Kumar Shukla, Joydeep Dutta, and Kalyanmoy Deb On Properly Pareto Optimal Solutions 10.4230/DagSemProc.04461.17
• Nirupam Chakraborti, Barrenkala Siva Kumar, Satish V. Babu, Sri Subhrangshu Moitra, and Ananya Mukhopadhyay Optimizing Surface Profiles during Hot Rolling: A Genetic Algorithms based Multi-objective Analysis 10.4230/DagSemProc.04461.18
• Oliver Giel Runtime Analysis of a Simple Multi-Objective Evolutionary Algorithm 10.4230/DagSemProc.04461.19
• Daisuke Sasaki and Shigeru Obayashi Visualization of Global Trade-Offs in Aerodynamic Problems by ARMOGAs 10.4230/DagSemProc.04461.20