Theory and principled methods for the design of metaheuristics
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The work Theory and principled methods for the design of metaheuristics represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
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Theory and principled methods for the design of metaheuristics
Resource Information
The work Theory and principled methods for the design of metaheuristics represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Theory and principled methods for the design of metaheuristics
 Statement of responsibility
 edited by Yossi Borenstein, Alberto Moraglio
 Subject

 Computer algorithms
 Computer algorithms
 Computer algorithms
 Heuristic programming
 Heuristic programming
 Heuristic programming
 MATHEMATICS  Applied
 MATHEMATICS  Probability & Statistics  General
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Problem solving  Data processing
 Problem solving  Data processing
 Problem solving  Data processing
 Language
 eng
 Summary
 Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many realworld 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 reallife 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 topdown 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
 Cataloging source
 GW5XE
 Dewey number
 519.6
 Index
 no index present
 Language note
 English
 LC call number
 QA402.5
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 Natural computing series
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