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What to measure. (Abstract invited talk) | 1 |
Catherine McGeoch |
Text: PDF (Slides: PDF) |
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An overview of basic and advanced statistic techniques for calibrating and comparing
algorithms. (Abstract invited talk) | 3 |
Rubén Ruiz |
Text: PDF (Slides: PDF) |
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Sequential parameter optimization (SPO)
and the role of tuning in experimental analysis. (Abstract invited
talk) | 5 |
Mike Preuss and Thomas Bartz-Beielstein |
Text: PDF (Slides: PDF) |
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The attainment-function approach to stochastic
multiobjective
optimiser assessment and comparison. (Abstract invited
talk) | 7 |
Carlos M. Fonseca and Viviane Grunert da Fonseca |
Text: PDF (Slides: PDF) |
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Evaluation of Parallel Metaheuristics. | 9-14 |
Enrique Alba and Gabriel Luque |
Text: PDF |
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The International Planning Competition Series and
Empirical Evaluation of AI Planning Systems. | 15-20 |
Derek Long and Maria Fox |
Text: PDF |
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Competitive Evaluation of Automated Reasoning
Tools: Empirical Scoring and Statistical Testing. | 21-26 |
Massimo Narizzano, Luca Pulina and Armando Tacchella |
Text: PDF |
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Sequential Experiment Designs for Screening and Tuning
Parameters of Stochastic Heuristics. | 27-34 |
Enda Ridge and Daniel Kudenko |
Text: PDF |
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Considerations of Budget Allocation for Sequential Parameter
Optimization (SPO). | 35-40 |
Thomas Bartz-Beielstein and Mike Preuss |
Text: PDF |
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Generality of Results obtained by
the Parameter Calibration and Relevance Estimation Method. | 41-47 |
Volker Nannen and A.E. Eiben |
Text: PDF |
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