Robust Engineering Experiment Design: Theory and Practice

Research output: Book/ReportBook

Abstract

This book is a comprehensive hands-on guide to develop an experiment, which should show a statistically sound behavior. During writing this book the author has assumed that you’ve no idea about developing a robust scientific experiment of a standard. The researchers familiar with the robust design can also utilize this book as a single source of information on achieving the goal of robust and statistically verified design. The rationale behind preparing the content of this type is outlined ahead: Researchers and practitioners frequently spend most of their time in fine-tuning of an algorithm then designing and implementing them. This is very true when developing heuristics and meta-heuristics employed for optimization problem and many times in software development, where the correct choice of values for search parameters has a considerable effect on the performance of the procedure. Determining the optimal parameters is a continuous engineering task, which goals are to reduce the production costs and to achieve the desired product quality. This is because you can only change the controllable factors in the process.
Original languageEnglish
Place of PublicationGermany
PublisherScholar Press
Number of pages100
ISBN (Print)9783659841064
Publication statusPublished - 9 Aug 2016

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  • Research Output

    State of the art on grammatical inference using evolutionary method

    PANDEY, HARI. MOHAN., 18 Sep 2019, (Accepted/In press) Elsevier. 230 p.

    Research output: Book/ReportBook

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