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ORCIDExperimental Methods for the Analysis of Optimization Algorithms 2010
- Thomas Bartz-Beielstein
, Marco Chiarandini, Luís Paquete, Mike Preuss:
Experimental Methods for the Analysis of Optimization Algorithms. Springer 2010, ISBN 978-3-642-02537-2
Part 1 / Overview
- Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss:
Introduction. 1-13 - Thomas Bartz-Beielstein, Mike Preuss:
The Future of Experimental Research. 17-49 - Jack P. C. Kleijnen:
Design and Analysis of Computational Experiments: Overview. 51-72 - Nicholas G. Hall, Marc E. Posner:
The Generation of Experimental Data for Computational Testing in Optimization. 73-101 - Viviane Grunert da Fonseca, Carlos M. Fonseca:
The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and Comparison. 103-130 - Markus Chimani, Karsten Klein:
Algorithm Engineering: Concepts and Practice. 131-158
Part 2 / Characterizing Algorithm Performance
- Matteo Gagliolo, Catherine Legrand:
Algorithm Survival Analysis. 161-184 - Jürg Hüsler:
On Applications of Extreme Value Theory in Optimization. 185-207 - Manuel López-Ibáñez, Luís Paquete, Thomas Stützle:
Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization. 209-222
Part 3 / Algorithm Configuration and Tuning
- Marco Chiarandini, Yuri Goegebeur:
Mixed Models for the Analysis of Optimization Algorithms. 225-264 - Enda Ridge, Daniel Kudenko:
Tuning an Algorithm Using Design of Experiments. 265-286 - Selmar K. Smit, Ágoston E. Eiben:
Using Entropy for Parameter Analysis of Evolutionary Algorithms. 287-310 - Mauro Birattari, Zhi Yuan, Prasanna Balaprakash, Thomas Stützle:
F-Race and Iterated F-Race: An Overview. 311-336 - Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss:
The Sequential Parameter Optimization Toolbox. 337-362 - Frank Hutter, Thomas Bartz-Beielstein, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy:
Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches. 363-414
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