This first book of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6–8, 2023, in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers know the up-to-date techniques of the mentioned topics, including swarm intelligence and its applications, operational technologies and networked multimedia applications, wearable computing and intelligent data hiding, image processing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Jerry Chun-Wei Lin is currently working as the full Professor at the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published 500+ research papers in refereed journals and is the leader of the well-known SPMF project, which provides more than 190 data mining algorithms and has been widely cited in many different applications (around 900 citation). He is also the founder and the leader of PPSF project. Moreover, 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, and 2022 respectively by Stanford University. He is the Fellow of IET (FIET), ACM Distinguished Member (Scientist), and IEEE Senior Member.
Chin-Shiuh Shieh received the M.S. degree in Electrical Engineering from the National Taiwan University, Taiwan, in 1991, and the Ph.D. degree in Computer Science and Engineering from National Sun Yat-Sen University, Taiwan, in 2009. In August 1991, he joined the faculty of the Department of Electronic Engineering at the National Kaohsiung University of Science and Technology, Taiwan, where he currently serves as a full professor. His research interests include computer networking, embedded systems, computational intelligence, and information security.
Mong Fong Horng received his B.S., Ms. and Ph.D degrees from National Chiao Tung University and National Cheng Kung University, Taiwan in 1989, 1991 and 2003, respectively. He now is a jointly-appointed professor with the department of Electronics Engineering at National Kaohsiung University of Science and Technology, and Kaohsiung Medical University, Taiwan. Till 2022, Dr. Horng had published 141 academic papers, 6 textbooks, about his research. There are 65 papers indexed by Web of Service (WoS), 116 papers indexed by EI and 125 papers indexed by Scopus. He served as the president of Taiwanese Association of Consumer Electronics (TACE), Chair of Tainan Chapter, IEEE Signal Processing Society and the editorial board member and reviewers of international journals, including Electronics, Information Sciences, Journal of Machine Learning and Cybernetics. Dr. Horng focuses his research interest on Internet of Things, Machine Learning, Computer Networks and Medical Informatics and related industrial cooperation.
Shu-Chuan Chu received a Ph.D. degree in 2004 from the School of Computer Science, Engineering and Mathematics, Flinders University of South Australia. She joined Flinders University in December 2009 after 9 years at the Cheng Shiu University, Taiwan. She has been a Research Fellow and Associate Professor in the College of Science and Engineering of Flinders University, Australia since December 2009. Currently, she is a Research Fellow with a Ph.D. advisor in the College of Computer Science and Engineering of Shandong University of Science and Technology from September 2019. She also serves as an editorial board member for Engineering Applications of Artificial Intelligence (EAAI), Journal of Internet Technology (JIT) and Research Reports on Computer Science (RRCS). Her research interests are mainly in Evolutionary Computation, Intelligent Computing, Information Hiding and Wireless Sensor Networks.
