Detailansicht
Experimental Methods for the Analysis of Optimization Algorithms
ISBN/EAN: 9783642025372
Umbreit-Nr.: 1835139
Sprache:
Englisch
Umfang: xxii, 457 S.
Format in cm:
Einband:
gebundenes Buch
Erschienen am 04.11.2010
Auflage: 1/2010
- Zusatztext
- 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.
- Kurztext
- With contributions from leaders in the field, this volume assesses the main issues in the experimental analysis of algorithms, examines their developmental cycle, and demonstrates how to configure and tune algorithms with advanced experimental techniques.