Experimental Methods for the Analysis of Optimization Algorithms by Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete and Mike Preuss
Book Description :-
This book consists of methodological contributions on different scenarios of experimental analysis. The first part overviews the main issues in the experimental analysis of algorithms, and discusses the experimental cycle of algorithm development; the second part treats the characterization by means of statistical distributions of algorithm performance in terms of solution quality, runtime and other measures; and the third part collects advanced methods from experimental design for configuring and tuning algorithms on a specific class of instances with the goal of using the least amount of experimentation. The contributor list includes leading scientists in algorithm design, statistical design, optimization and heuristics, and most chapters provide theoretical background and are enriched with case studies. This book is written for researchers and practitioners in operations research and computer science who wish to improve the experimental assessment of optimization algorithms and, consequently, their design. Keywords »
Algorithm engineering - Algorithms - Combinatorial optimization - Evolutionary algorithms - Experiment designs - Experimental analysis - Extreme value theory - F-race -Heuristics - Inferential statistics - Local search - Multiobjective optimization - Optimization -Scheduling - Sequential parameter optimization (SPO)
Book Details :-
Hardcover: 479 pages
Publisher: Springer; 1st Edition. edition (November 3, 2010)
Language: English
ISBN-10: 3642025374
ISBN-13: 978-3642025372
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