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Experimental Methods for the Analysis of Optimization Algorithms

2010-11-02 Computers
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Release : 2010-11-02
Genre : Computers
Kind : eBook
Book Rating : 382/5 ( reviews)

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Book Synopsis Experimental Methods for the Analysis of Optimization Algorithms by : Thomas Bartz-Beielstein

Download or read book Experimental Methods for the Analysis of Optimization Algorithms written by Thomas Bartz-Beielstein. This book was released on 2010-11-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Experimental Research in Evolutionary Computation

2006-05-09 Computers
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Release : 2006-05-09
Genre : Computers
Kind : eBook
Book Rating : 27X/5 ( reviews)

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Book Synopsis Experimental Research in Evolutionary Computation by : Thomas Bartz-Beielstein

Download or read book Experimental Research in Evolutionary Computation written by Thomas Bartz-Beielstein. This book was released on 2006-05-09. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.

Analysis of Experimental Algorithms

2019-11-14 Computers
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Release : 2019-11-14
Genre : Computers
Kind : eBook
Book Rating : 295/5 ( reviews)

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Book Synopsis Analysis of Experimental Algorithms by : Ilias Kotsireas

Download or read book Analysis of Experimental Algorithms written by Ilias Kotsireas. This book was released on 2019-11-14. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the Special Event on the Analysis of Experimental Algorithms, SEA2 2019, held in Kalamata, Greece, in June 2019. The 35 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers cover a wide range of topics in both computer science and operations research/mathematical programming. They focus on the role of experimentation and engineering techniques in the design and evaluation of algorithms, data structures, and computational optimization methods.

Experimental Algorithms

2008 Computer algorithms
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Release : 2008
Genre : Computer algorithms
Kind : eBook
Book Rating : 556/5 ( reviews)

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Book Synopsis Experimental Algorithms by :

Download or read book Experimental Algorithms written by . This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Workshop on Experimental and Efficient Algorithms, WEA 2008, held in Provincetown, MA, USA, in May/June 2008. The 26 revised full papers were carefully reviewed and selected from numerous submissions and present current research on experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications. Special focus is put on the use of experimental methods to guide the design, analysis, implementation, and evaluation of algorithms, heuristics, and optimization programs.

Theory and Principled Methods for the Design of Metaheuristics

2013-12-19 Computers
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Release : 2013-12-19
Genre : Computers
Kind : eBook
Book Rating : 064/5 ( reviews)

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Book Synopsis Theory and Principled Methods for the Design of Metaheuristics by : Yossi Borenstein

Download or read book Theory and Principled Methods for the Design of Metaheuristics written by Yossi Borenstein. This book was released on 2013-12-19. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are sometimes the outcome of trial and error. Ideally, theoretical studies should explain when and why metaheuristics work, but the challenge is huge: mathematical analysis requires significant effort even for simple scenarios and real-life problems are usually quite complex. In this book the editors establish a bridge between theory and practice, presenting principled methods that incorporate problem knowledge in evolutionary algorithms and other metaheuristics. The book consists of 11 chapters dealing with the following topics: theoretical results that show what is not possible, an assessment of unsuccessful lines of empirical research; methods for rigorously defining the appropriate scope of problems while acknowledging the compromise between the class of problems to which a search algorithm is applied and its overall expected performance; the top-down principled design of search algorithms, in particular showing that it is possible to design algorithms that are provably good for some rigorously defined classes; and, finally, principled practice, that is reasoned and systematic approaches to setting up experiments, metaheuristic adaptation to specific problems, and setting parameters. With contributions by some of the leading researchers in this domain, this book will be of significant value to scientists, practitioners, and graduate students in the areas of evolutionary computing, metaheuristics, and computational intelligence.

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