Special Session on Nature-inspired Computing in
Intelligent Network Systems
Optimization and
application of network environments have attracted enormous amount of
concentration and brought huge impact on the research orientations, living form
of human beings and growth of economy in the last decade.
The development on the number of
users of social media and network application, the colossal increase of mobile
devices, and the vast volume of information hidden in distributed data centers
yield the necessity of establishing effective mechanism or algorithms for
solving optimization problems in network system, and the trends become much
more apparent on several aspects in the last few years due to the COVID-19
pandemic, which causes the requirements of physical division and virtual
connection. Fortunately, the emerging technologies of high-performance
computing provide powerful tools for the development of algorithms for
representing, optimizing, and reasoning network systems through computational
intelligence methods.
Keywords: Nature-inspired Computing, Communication network systems, Transportation and logistics, Information
network systems, Social network
systems, Financial and economic
network systems
This special session aims at promoting studies on the development of
nature-inspired approaches, including evolutionary computation, swarm
intelligence, metaheuristics, and artificial neural networks, for
network-system representation, optimization, and reasoning. Topics of interest
include but not limited to:
·
Communication network
systems
The importance of communication and
telecommunications have raised up since the drastically increased number of
mobile devices, and different types of communication for different
circumstances, such as mobile,
satellite, optical, and voice communications, require to
be optimized at certain levels or in terms of varying aspects, including
switching, routing, and transmission systems, which may involve the design of
station and antenna and the simulation of communication systems. In addition,
many issues exist in the optimization of a communication network system,
including information and speech processing,
intrusion detection,
error control coding, compression and cryptography,
propagation and channel modelling, protocol design, etc.
·
Transportation and logistics
network systems
The indispensability of optimization for
transportation and logistics is extremely obvious in recent years, especially
after the pandemic of COVID-19 and the Suez Canal obstruction. The optimization
issues remaining to be solved include transportation and supply networks,
logistics, supply chain management, freight and passenger services, tracking
and tracing, fleet and order management, modelling and traffic management,
traffic simulation, individual and public transportation, inventory optimization;
routing and scheduling, etc.
·
Information network systems
The explosion on the growth of data and
information gives prominence to the information network system and data mining.
Issues in this topic cover data distribution and sharing, distributed data systems, inter-organizational communication, dynamic
data network, heterogeneous data analysis, etc.
·
Social network systems
The increase of population and the widespread
of individual and mobile devices enlarge the utility of social network and
therefore facilitate the importance of optimization over it. The issues include
action policies analysis, networking strategies search, network and friendship
management, identification of interests, advertisement of interests,
hierarchical networks distribution, distributed games, behavior analysis,
inter-personal communication, group communication, etc.
·
Financial and economic
network systems
The real lives of human beings have close
connection to the finance and economy. For improving the benefit of the whole
community of people, the optimization, detection, and forecasting for financial
and economic network system are inevitable. The issues consist of system
modelling, market prices forecasting, price tracking, invest strategies search,
portfolio strategies search, etc.
·
General network problems
Some other issues are referred to as general
network problems, including parallel and distributed systems, networks and
graph problems, unconstrained and constrained network design problems,
structural and computational complexity, adaptivity to environmental variations,
robustness to network changes and failures, effectiveness and scalability of
performance, location and link design, reliability and failure, corporate
network design, location placement, network physical and software architecture,
network hardware and software technologies, operations, maintenance, and
management, signaling and control, active networks, network services and
applications, etc.
This special session is organized by IEEE
CIS ISATC Task Force on Intelligent Network Systems (TF-INS).
Rung-Tzuo Liaw
Assistant Professor, Fu Jen Catholic University, Taiwan, Email: rtliaw@csie.fju.edu.tw
Dr. Liaw obtained his bachelor
degree of science from National Taiwan University in 2009 and the PhD degree
from National Chung Cheng University in Taiwan in 2017. He is an honor member
of Phi Tau Phi scholastic honor society since 2014. Dr. Liaw has published several
journal and international conference papers. He is currently an assistant
professor at Fu Jen Catholic University. His research interests include
evolutionary computation, evolutionary multitask optimization, transfer
learning, evolutionary learning and data mining, surrogate-based optimization,
and multiobjective optimization. Dr. Liaw has
entered the editorial board of Memetic Computing journal since 2020. He has
served as the chair of Intelligence Network Systems task force in IEEE CIS
since 2021.
Yu-Wei Wen
Assistant Professor, National United University, Taiwan, Email:
ywwen@nuu.edu.tw
Dr.
Wen received his B.S. degree and Ph.D. degree in computer science and
information engineering from National Chung Cheng University, Taiwan, in 2015
and 2022, respectively. He is currently an assistant professor with the Department
of Computer Science and Information Engineering, National United University,
Taiwan. His research interests include evolutionary computation, memetic
computing, evolutionary multitask optimization, machine learning, and
algorithmic music composition.
Chuan-Kang Ting
Professor, National Tsing Hua University, Taiwan, Email: ckting@cs.nthu.edu.tw
Chuan-Kang Ting received the
B.S. degree from National Chiao Tung University, the M.S. degree from National
Tsing Hua University, and the Dr. rer. nat. degree in
Computer Science from Paderborn University, Germany. He is currently a
Professor of Department of Computer Science, National Tsing Hua University,
Taiwan. His research interests include evolutionary computation, computational
intelligence, artificial intelligence, machine learning, and their applications
in intelligent systems, smart manufacturing, data mining, music and art. Dr.
Ting is the Editor-in-Chief of IEEE Computational Intelligence Magazine and
Memetic Computing journal, and an Associate Editor of IEEE Transactions on
Evolutionary Computation. He served as the IEEE Computational Intelligence
Society (CIS) Newsletter Editor, the IEEE CIS Webmaster, the Chair of IEEE CIS
Chapters Committee, and the Chair of IEEE CIS Creative Intelligence Task Force.
Dr. Ting has been involved in organization of many international conferences,
symposiums, workshops, and special sessions. He was the Special Session Chair
of IEEE WCCI 2016, WCCI 2018, and CEC 2019, the Chair of IEEE Symposium on
Computational Intelligence for Creativity and Affective Computing 2013, the
Program Chair of TAAI (2012, 2015, 2019), and the Organizing Chair of AI Forum
(2012, 2023). He is the President of Taiwanese Association for Artificial
Intelligence.