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Books > Computing & IT > General theory of computing > Data structures
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Experimental Methods for the Analysis of Optimization Algorithms (Paperback, 2010 ed.)
Loot Price: R2,843
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Experimental Methods for the Analysis of Optimization Algorithms (Paperback, 2010 ed.)
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In operations research and computer science it is common practice
to evaluate the performance of optimization algorithms on the basis
of computational results, and the experimental approach should
follow accepted principles that guarantee the reliability and
reproducibility of results. However, computational experiments
differ from those in other sciences, and the last decade has seen
considerable methodological research devoted to understanding the
particular features of such experiments and assessing the related
statistical methods. 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.
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