Your search returned the following 8 documents:

8. Computing Single Source Shortest Paths using Single-Objective Fitness Functions
   Surender Baswana, Somenath Biswas, Benjamin Doerr, Tobias Friedrich, Piyush P. Kurur, and Frank Neumann
   In: FOGA'09 : revised selected papers from ACM SIGEVO Foundations of Genetic Algorithms X, Orlando, USA, 2009, 59-66
   
7. Don't be greedy when calculating hypervolume contributions
   Karl Bringmann and Tobias Friedrich
   In: FOGA'09 : revised selected papers from ACM SIGEVO Foundations of Genetic Algorithms X, Orlando, USA, 2009, 103-112
   
6. GECCO 2009: Proceedings of the 11th Annual conference on Genetic and evolutionary computation.
   Günther R. Raidl, Enrique Alba, Jaume Bacardit, Hans-Georg Beyer, Mauro Birattari, Christian Blum, Peter A.N. Bosman, Clare B. Congdon, David W. Corne, Carlos Cotta, Massimiliano Di Penta, Benjamin Doerr, Rolf Drechsle, Marc Ebner, Jörn Grahl, Thomas Jansen, Joshua D. Knowles, Tom Lenaerts, Martin Middendorf, Julian F. Miller, Michael O'Neill, Riccardo Poli, Giovanni Squillero, Kenneth O. Stanley, Thomas Stützle, and Jano van Hemert(Ed.)
   , ACM, New York, 2009
   
5. Analyzing Hypervolume Indicator Based Algorithms
   Dimo Brockhoff, Tobias Friedrich, and Frank Neumann
   In: Parallel Problem Solving from Nature (PPSN X), Dortmund, Germany, 2008, 651-660
   
4. Approximating Minimum Multicuts by Evolutionary Multi-Objective Algorithms
   Frank Neumann and Joachim Reichel
   In: Parallel Problem Solving from Nature (PPSN X), Dortmund, Germany, 2008, 72-81. Note: Best Paper Award
   
3. How Single Ant ACO Systems Optimize Pseudo-Boolean Functions
   Benjamin Doerr, Daniel Johannsen, and Ching Hoo Tang
   In: Parallel Problem Solving from Nature – PPSN X, Dortmund, Germany, 2008, 378-388
   [PDF: Download: DoerrJohannsenTang_HowSingleAntACOSystemsOptimizePseudo-BooleanFunctions.pdf] [PDF: Download: DoerrJohannsenTang_Appendix_HowSingleAntACOSystemsOptimizePseudo-BooleanFunctions.pdf]
   
2. Learning Fuzzy Rules with Evolutionary Algorithms - An Analytic Approach
   Jense Kroeske, Adam Ghandar, Zbigniew Michalewicz, and Frank Neumann
   In: Parallel Problem Solving from Nature (PPSN X), Dortmund, Germany, 2008, 1051-1060
   
1. Runtime Analyses for Using Fairness in Evolutionary Multi-Objective Optimization
   Tobias Friedrich, Christian Horoba, and Frank Neumann
   In: Parallel Problem Solving from Nature (PPSN X), Dortmund, Germany, 2008, 671-680