Abstract is missing.
- IntroductionThomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss. 1-13 [doi]
- The Future of Experimental ResearchThomas Bartz-Beielstein, Mike Preuss. 17-49 [doi]
- Design and Analysis of Computational Experiments: OverviewJack P. C. Kleijnen. 51-72 [doi]
- The Generation of Experimental Data for Computational Testing in OptimizationNicholas G. Hall, Marc E. Posner. 73-101 [doi]
- The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and ComparisonViviane Grunert da Fonseca, Carlos M. Fonseca. 103-130 [doi]
- Algorithm Engineering: Concepts and PracticeMarkus Chimani, Karsten Klein 0001. 131-158 [doi]
- Algorithm Survival AnalysisMatteo Gagliolo, Catherine Legrand. 161-184 [doi]
- On Applications of Extreme Value Theory in OptimizationJürg Hüsler. 185-207 [doi]
- Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective OptimizationManuel López-Ibáñez 0001, Luís Paquete, Thomas Stützle. 209-222 [doi]
- Mixed Models for the Analysis of Optimization AlgorithmsMarco Chiarandini, Yuri Goegebeur. 225-264 [doi]
- Tuning an Algorithm Using Design of ExperimentsEnda Ridge, Daniel Kudenko. 265-286 [doi]
- Using Entropy for Parameter Analysis of Evolutionary AlgorithmsSelmar K. Smit, Ágoston E. Eiben. 287-310 [doi]
- F-Race and Iterated F-Race: An OverviewMauro Birattari, Zhi Yuan, Prasanna Balaprakash, Thomas Stützle. 311-336 [doi]
- The Sequential Parameter Optimization ToolboxThomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss. 337-362 [doi]
- Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive ApproachesFrank Hutter, Thomas Bartz-Beielstein, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy. 363-414 [doi]