EMAA - Workshop on Empirical Methods for the Analysis of Algorithms

Proceedings

Front Matter
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What to measure. (Abstract invited talk)1
Catherine McGeoch
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An overview of basic and advanced statistic techniques for calibrating and comparing algorithms. (Abstract invited talk)3
Rubén Ruiz
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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
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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
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Evaluation of Parallel Metaheuristics.9-14
Enrique Alba and Gabriel Luque
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The International Planning Competition Series and Empirical Evaluation of AI Planning Systems.15-20
Derek Long and Maria Fox
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Competitive Evaluation of Automated Reasoning Tools: Empirical Scoring and Statistical Testing.21-26
Massimo Narizzano, Luca Pulina and Armando Tacchella
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Sequential Experiment Designs for Screening and Tuning Parameters of Stochastic Heuristics.27-34
Enda Ridge and Daniel Kudenko
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Considerations of Budget Allocation for Sequential Parameter Optimization (SPO).35-40
Thomas Bartz-Beielstein and Mike Preuss
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Generality of Results obtained by the Parameter Calibration and Relevance Estimation Method.41-47
Volker Nannen and A.E. Eiben
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