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ORCIDDagstuhl Seminar Proceedings: Practical Approaches to Multi-Objective Optimization 2005
- Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer:
Practical Approaches to Multi-Objective Optimization, 7.-12. November 2004. Dagstuhl Seminar Proceedings 04461, IBFI, Schloss Dagstuhl, Germany 2005 - Hirotaka Nakayama:
Multi-objective Optimization and its Engineering Applications. - Alexander V. Lotov:
Approximation and Visualization of Pareto Frontier in the Framework of Classical Approach to Multi-Objective Optimization. - Carlos M. Fonseca, Peter J. Fleming:
Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms. - Jörg Fliege, Christoph Heermann, Bernd Weyers:
A New Adaptive Algorithm for Convex Quadratic Multicriteria Optimization. - Hisao Ishibuchi:
Effects of Crossover Operations on the Performance of EMO Algorithms. - Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb:
On Properly Pareto Optimal Solutions. - Daisuke Sasaki, Shigeru Obayashi:
Visualization of Global Trade-Offs in Aerodynamic Problems by ARMOGAs. - Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer:
04461 Summary - Practical Approaches to Multi-Criterion Optimization. - 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. - Marco Laumanns, Lothar Thiele, Eckart Zitzler:
An Adaptive Scheme to Generate the Pareto Front Based on the Epsilon-Constraint Method. - 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. - Oliver Giel:
Runtime Analysis of a Simple Multi-Objective Evolutionary Algorithm. - Carlos A. Coello Coello:
Current Status of the EMOO Repository, Including Current and Future Research Trends. - Felix Streichert, Holger Ulmer, Andreas Zell:
Hybrid Representations for Composition Optimization and Parallelizing MOEAs. - Kalyanmoy Deb:
A Tutorial on Evolutionary Multi-Objective Optimization (EMO). - Oliver Schütze, Alessandro Dell'Aere, Michael Dellnitz:
On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems. - Sanaz Mostaghim, Jürgen Teich:
A New Approach on Many Objective Diversity Measurement. - Enrico Rigoni, Silvia Poles:
NBI and MOGA-II, two complementary algorithms for Multi-Objective optimizations. - Thomas Hanne:
Application Issues for Multiobjective Evolutionary Algorithms. - Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer:
04461 Abstracts Collection - Practical Approaches to Multi-Objective Optimization.
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