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[ subject:"Metaheuristics." ]
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A practical approach to metaheuristics using LabVIEW and MATLAB
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A practical approach to metaheuristics using LabVIEW and MATLABPedro Ponce Cruz ... [et al.].
其他作者:
Ponce Cruz, Pedro.
出版者:
Boca Raton, FL :CRC Press,2020.
面頁冊數:
1 online resource.
附註:
"A Chapman & Hall book."
標題:
Metaheuristics.
電子資源:
https://www.taylorfrancis.com/books/9780429324413
ISBN:
9780429324413$q(electronic bk.)
A practical approach to metaheuristics using LabVIEW and MATLAB
A practical approach to metaheuristics using LabVIEW and MATLAB
[electronic resource] /Pedro Ponce Cruz ... [et al.]. - 1st ed. - Boca Raton, FL :CRC Press,2020. - 1 online resource. - Chapman & Hall/CRC computer and information science series. - Chapman & Hall/CRC computer and information science series..
"A Chapman & Hall book."
Includes bibliographical references and index.
Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are as follows: Developed for researchers, undergraduate and graduate students, and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Updated state-of-the-art and research optimization projects The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.
ISBN: 9780429324413$q(electronic bk.)Subjects--Uniform Titles:
LabVIEW.
Subjects--Topical Terms:
757062
Metaheuristics.
LC Class. No.: QA76.9.A43 / P66 2020eb
Dewey Class. No.: 519.6
A practical approach to metaheuristics using LabVIEW and MATLAB
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Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are as follows: Developed for researchers, undergraduate and graduate students, and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Updated state-of-the-art and research optimization projects The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.
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https://www.taylorfrancis.com/books/9780429324413
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