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Genetic and Evolutionary Computing

Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computing, August 28-30, 2024, Miyazaki, Japan (Volume 2)

  • Conference proceedings
  • © 2025

Overview

  • Presents latest research from the 16th International Conference on Genetic and Evolutionary Computing (ICGEC 2024)
  • Brings the new techniques and systems from the famous researchers, scholars, and professionals
  • Provides the swarm intelligence, artificial intelligence, information hiding, and big data methods

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1322)

Included in the following conference series:

Conference proceedings info: ICGEC 2024.

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About this book

This book contains accepted papers presented at ICGEC 2024, the 16th International Conference on Genetic and Evolutionary Computing, held from August 28-29, 2024 in Miyazaki, Japan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including digital transformation, machine learning and data analysis, meta-heuristic optimization algorithms, computer vision, and artificial intelligence of things (AIoT), which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.

Keywords

Table of contents (40 papers)

  1. Intersection of Medical Technology, AI, IOT, and Big Data Analysis in Healthcare

  2. Evolutionary Computing in DX

  3. Image Processing and Computer Vision

Other volumes

  1. Genetic and Evolutionary Computing

  2. Genetic and Evolutionary Computing

Editors and Affiliations

  • Shandong University of Science and Technology, Qingdao, China

    Jeng-Shyang Pan

  • Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  • Fujian University of Technology, Fuzhou, China

    Tien-Wen Sung

  • Silesian University of Technology, Gliwice, Poland

    Jerry Chun-Wei Lin

About the editors

Jeng-Shyang Pan is the Professor and the Dean of Artificial Intelligence Research Institute in Nanjing University of Information Science and Technology. He also got the part-time work in Shandong University of Science and Technology. He received the B. S. degree in Electronic Engineering from the National Taiwan University of Science and Technology in 1986, the M. S. degree in Communication Engineering from the National Chiao Tung University, Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the University of Edinburgh, U.K. in 1996. He has published more 500 papers indexed by SCI, the H-Index is 72 and the total cited times are more than 21000. He is the IET Fellow, UK and has been the Vice Chair of IEEE Tainan Section. He was Awarded Gold Prize in the International Micro Mechanisms Contest held in Tokyo, Japan in 2010. He was also awarded Gold Medal in the Pittsburgh Invention & New Product Exposition (INPEX) in 2010, Gold Medal in the International Exhibition of Geneva Inventions in 2011 and Gold Medal of the IENA, International “Ideas – Inventions – New products“, Nuremberg, Germany in 2011. His current research interests include soft computing, artificial intelligence and information hiding.     

Dr. Thi Thi Zin is the First Woman Professor in the Faculty of Engineering, University of Miyazaki, Japan. She was born in Yangon, Myanmar. She received her Bachelor Degree of Science specializing in Mathematics from Yangon University in 1995. She earned her first Master Degree of Information Science from University of Computer Studies, Yangon in 1999. She received her second Master Degree of Engineering (Electrical and Information Engineering) in 2004 from Osaka City University, Japan. She received her Ph.D. degree in the field of Image Processing in 2007 from Graduate School of Engineering, Osaka City University, Japan. From 2007 to 2009, she was awarded a Postdoctoral Research Fellow of Japan Society for the Promotion of Science (JSPS). After the JSPS, she served as a Specially Appointed Researcher and Specially Appointed Assistant Professor in the University of Tokyo and Osaka City University until 2013. Then, she was appointed as an Associate Professor in the Faculty of Engineering, University of Miyazaki. In 2016, she was promoted to the Full Professorship in Faculty of Engineering, University of Miyazaki, Japan. Her research interests include Human Behavior Understanding, Intelligent Transportation systems, Cow Behavior Analysis, Health Care Monitoring Systems and Image Recognition. She is a member of IEEE. Dr. Thi Thi Zin has published more than 120 research papers in reputable International Journals including IEEE Transactions on Consumer Electronic, Scientific Reports and she presented more than 150 research papers in International Conferences. Dr. Thi Thi Zin served the Conference Chairs of IEEE-GCCE2020 and IEEE-LifeTech2022. She also served as a Local Arrangement Chair of IEEE SMC2018. She was an IEEE CTSoc Board of Governors (2021-2023) and IEEE CTSoc Women in Engineering Committee Chair (2021-2023). She is actively involved in WIE activities.

Tien-Wen Sung received his Ph.D. degree in Computer and Communication Engineering from Department of Electrical Engineering at Cheng Kung University, Taiwan in 2014. He is now a Full Professor in the College of Computer Science and Mathematics, Fujian University of Technology, China. He is awarded the Taiwanese Outstanding Talents in Fujian Province of China. He is also a member of IEEE, ACM, IAENG, EAI, CCF, and AFCEC. He is now the executive editor of Journal of Information Hiding and Multimedia Processing, the associate editor of Journal of Network Intelligence, and the academic editor of Wireless Communications and Mobile Computing. As a guest editor, he has edited several special issues of SCI journals. He has published more than 80 research papers indexed by SCI, SSCI, or EI, including an ESI highly cited paper, and won the Excellent/Best Paper Awards from several conferences. He also served as a reviewer for many journals and served as a committee member for many conferences. He is the leader of several research projects funded by the governments and university. His research interests include Artificial Intelligence, Internet of Things, Wireless Sensor Networks, and U-Learning.

Jerry Chun-Wei Lin is currently working as a Professor at the Silesian University of Technology, Poland. He has published many top-tier research papers in refereed journals and conferences and is the leader of the well-known SPMF project, which provides more than 200  data mining algorithms and has been widely cited in many different applications (around 900 citations). He has been awarded as the Most Cited Chinese Researcher in 2018, 2019, 2020, and 2021 by Elsevier/Scopus and Top-2% Scientist in 2019, 2020, 2021, 2022, and 2023 respectively by Stanford University. He is the Fellow of IET (FIET), ACM Distinguished Member (Scientist), and IEEE Senior Member.

Bibliographic Information

  • Book Title: Genetic and Evolutionary Computing

  • Book Subtitle: Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computing, August 28-30, 2024, Miyazaki, Japan (Volume 2)

  • Editors: Jeng-Shyang Pan, Thi Thi Zin, Tien-Wen Sung, Jerry Chun-Wei Lin

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-96-1535-3

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025

  • Hardcover ISBN: 978-981-96-1534-6Published: 14 February 2025

  • Softcover ISBN: 978-981-96-1537-7Due: 28 February 2026

  • eBook ISBN: 978-981-96-1535-3Published: 13 February 2025

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XV, 412

  • Number of Illustrations: 53 b/w illustrations, 165 illustrations in colour

  • Topics: Computational Intelligence, Optimization, Theory of Computation

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