Dagstuhl Seminar Proceedings: Practical Approaches to Multi-Objective Optimization 2005

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