Thermal System Optimization A Population-Based Metaheuristic Approac
This book presents a wide-ranging review of the latest research and development directions in thermal systems optimization using population-based metaheuristic methods. It helps readers to identify the best methods for their own systems, providing details
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System Optimization A Population-Based Metaheuristic Approach
Thermal System Optimization
Vivek K. Patel Vimal J. Savsani Mohamed A. Tawhid •
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Thermal System Optimization A Population-Based Metaheuristic Approach
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Vivek K. Patel Department of Mechanical Engineering, School of Technology Pandit Deendayal Petroleum University Raisan, Gandhinagar, Gujarat, India
Vimal J. Savsani Department of Mechanical Engineering Pandit Deendayal Petroleum University Raisan, Gandhinagar, Gujarat, India
Mohamed A. Tawhid Department of Mathematics and Statistics Thompson Rivers University Kamloops, BC, Canada
ISBN 978-3-030-10476-4 ISBN 978-3-030-10477-1 https://doi.org/10.1007/978-3-030-10477-1
(eBook)
Library of Congress Control Number: 2018965429 MATLAB® is a registered trademark of The MathWorks, Inc., 1 Apple Hill Drive, Natick, MA 01760-2098, USA, http://www.mathworks.com. © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Dedicated to almighty God
Preface
Any system which converts the thermal energy into mechanical energy or any other forms of energy is known as a thermal system. Modeling of a thermal system always required the integrated knowledge of thermodynamics, heat transfer, fluid dynamics, and cost evaluation. The effective modeling of thermal systems includes an optimization process in which designers always consider certain objectives such as heat transfer, effectiveness, cooling capacity, pressure drop, etc. depending on the requirements. While achieving the objectives mentioned above, it is also desirable to minimize the total cost of the system. Further, the design optimization of a complete thermal system assembly leads to a large number of
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