Experimental Methods for the Analysis of Optimization Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Paquete, Luis 编作者

Springer

译者

2010-01-01 出版日期

457 页数

USD 119.00 价格

Hardcover

丛书系列

9783642025372 图书编码

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Experimental Methods for the Analysis of Optimization Algorithms 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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 algorithms on a specific class of instances with the goal of using the least amount of experimentation. The contributors include leading scientists in algorithm design, statistical design, optimization and heuristics, and every chapter is enriched with case studies. This book is written for researchers and practitioners of operations research and computer science who wish to improve the experimental assessment of their optimization algorithms and thus improve their design.

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