Multi-objective Evolutionary Algorithms for Solving the Optimization Problem of the Surface Mounting
The multi-objective particle swarm optimization (MOPSO) is tested by the four ZDT problems. According to the simulation, the MOPSO can locate the global Pareto front (PF) on any instance. Moreover, a three-objective mathematical model is established to ve
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ed Mechanical Science and Technology for the Industrial Revolution 4.0
Advanced Mechanical Science and Technology for the Industrial Revolution 4.0
Ligang Yao Shuncong Zhong Hisao Kikuta Jih-Gau Juang Masakazu Anpo •
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Editors
Advanced Mechanical Science and Technology for the Industrial Revolution 4.0
123
Editors Ligang Yao Fuzhou University Fuzhou, Fujian P. R. China Shuncong Zhong Fuzhou University Fuzhou, Fujian P. R. China and Shanghai University Shanghai P. R. China Hisao Kikuta Osaka Prefecture University Sakai, Osaka Japan
Jih-Gau Juang National Taiwan Ocean University Keelung Taiwan Masakazu Anpo State Key Laboratory of Photocatalysis on Energy and Environment, Fuzhou University Fuzhou, Fujian P. R. China and Osaka Prefecture University Sakai, Osaka Japan
ISBN 978-981-10-4108-2 ISBN 978-981-10-4109-9 https://doi.org/10.1007/978-981-10-4109-9
(eBook)
Library of Congress Control Number: 2017952926 © Springer Nature Singapore Pte Ltd. 2018 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Foreword
The 1st Joint Symposium on Advanced Science and Technology for the Industrial Revolution 4.0 was held at Fuzhou University in China on December 1–3, 2016, under cooperation and collaboration among Fuzhou University (FZU), Osaka Prefecture University (OPU), and National Taiwan Ocean University (NTOU). In the scientific program, we had four excellent invited keynote lectures by Prof. Y.B. Kim (Korea), Prof. N. Sugimura (Japan), Prof. J.Y. Yen (Taiwan), and Prof. Y.L. Tu (Canada) as well as the 17 oral presentations and 23 poster presentations from these three universities. We had more than 250 participants, and man
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