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Experimental Methods for the Analysis of Optimization Algorithms

Erschienen am 04.11.2010, Auflage: 1/2010
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Bibliografische Daten
ISBN/EAN: 9783642025372
Sprache: Englisch
Umfang: xxii, 457 S.
Einband: gebundenes Buch

Beschreibung

InhaltsangabeOverview.- The Future of Experimental Research.- Design and Analysis of Computational Experiments: Overview.- The Generation of Experimental Data for Computational Testing in Optimization.- The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and Comparison.- Algorithm Engineering: Concepts and Practice.- Characterizing Algorithm Performance.- Algorithm Survival Analysis.- On Applications of Extreme Value Theory in Optimization.- Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization.- Algorithm Configuration and Tuning.- Mixed Models for the Analysis of Optimization Algorithms.- Tuning an Algorithm Using Design of Experiments.- Using Entropy for Parameter Analysis of Evolutionary Algorithms.- F-Race and Iterated F-Race: An Overview.- The Sequential Parameter Optimization Toolbox.- Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches.

Inhalt

Introduction.- Concepts and Practice of Algorithm Engineering.- Generating Experimental Data for Computational Testing in Scheduling Problems.- On the Performance Testing of Combinatorial Optimization Algorithms: The Scientific Method.- Algorithm Survival Analysis.- On Applications of Extreme Value Theory in Optimization.- F-Race and Further Enhancements.- Comparing the Performance of Evolutionary Algorithms with Multiple Hypothesis Testing.- Mixed Models for the Analysis of Local Search Components.- Sequential Experiment Designs for Screening and Tuning Parameters of Stochastic Heuristics.- Sequential Parameter Optimization (SPO) and the Role of Tuning in Experimental Analysis.- An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis.- The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and Comparison.- Experimental Analysis of Stochastic Local Search Components for Multiobjective Problems.- An Introduction to Inferential Statistics.