IEEE Computational Intelligence Magazine - November 2023 - 2

CIM Editorial Board
Editor-in-Chief
Chuan-Kang Ting
National Tsing Hua University
Department ofComputer Science
No. 101, Section 2, Kuang-Fu Road
Hsinchu 300044, TAIWAN
(Phone) +886-3-5742795
(Email) ckting@cs.nthu.edu.tw
Founding Editor-in-Chief
Gary G. Yen, Oklahoma State University, USA
Past Editors-in-Chief
Kay Chen Tan, Hong Kong Polytechnic University,
HONGKONG
Hisao Ishibuchi, Southern University ofScience and
Technology, CHINA
Editors-At-Large
Piero P. Bonissone, Piero P. Bonissone Analytics, USA
David B. Fogel, Natural Selection, Inc., USA
Vincenzo Piuri, University ofMilan, ITALY
Marios M. Polycarpou, University ofCyprus,
CYPRUS
Jacek M. Zurada, University ofLouisville, USA
Associate Editors
Jose M. Alonso-Moral, Universidade de Santiago
de Compostela, SPAIN
Sansanee Auephanwiriyakul, Chiang Mai
University, THAILAND
Ying-ping Chen, National Yang Ming Chiao
Tung University, TAIWAN
Keeley Crockett, Manchester Metropolitan
University, UK
Liang Feng, Chongqing University, CHINA
Jen-Wei Huang, National Cheng Kung
University, TAIWAN
Eyke H€ullermeier, University ofMunich,
GERMANY
MinJiang, Xiamen University, CHINA
Sheng Li, University ofVirginia, USA
Hongfu Liu, Brandeis University, USA
Zhen Ni, Florida Atlantic University, USA
Nelishia Pillay, University ofPretoria, SOUTH
AFRICA
Danil Prokhorov, Toyota R&D, USA
Kai Qin, Swinburne University ofTechnology,
AUSTRALIA
Rong Qu, University ofNottingham, UK
Manuel Roveri, Politecnico di Milano, ITALY
GonzaloA. Ruz, UniversidadAdolfo Iba~nez, CHILE
Ming Shao, University ofMassachusetts Dartmouth,
USA
Ah-Hwee Tan, Singapore Management University,
SINGAPORE
Vincent S. Tseng, National Yang Ming Chiao
Tung University, TAIWAN
Handing Wang, Xidian University, CHINA
Dongbin Zhao, Chinese Academy ofSciences,
CHINA
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Digital Object Identifier 10.1109/MCI.2023.3306138
Chuan-Kang Ting
National Tsing Hua University, TAIWAN
Editor's
Remarks
An Interaction Is Worth a Thousand Words
O
ne year ago, CIM published the inaugural
AI-eXplained (AI-X) immersive article on IEEE Xplore.
It is thrilled to witness that our call for the new form of
content representation has been responded to with tremendous passion
and a surge ofsubmissions. With greatefforts, CIMoffersaplatform
for delivering Al/CI concepts, designs, and applications via a
vivid and innovative means ofknowledge distribution. This success
cannot be achieved without the solid support ofCIS and IEEE staff
teams, especially CIS President JimKeller, who is the bellwether in
foreseeing the potential of immersive articles and promoting their
publication. At this point ofhis sign-offas President, my sincere gratitude goes toJim for
his leadership and contribution to the realization of immersive articles. Besides, he has
accompanied CIM readers to pull through the global difficult times with his witty and
insightful President's Messages, and CIS has been continuously growing under his guidance.
I heartily thankJim andwish him the very best in his future endeavors.
For this Special Issue on AI-X, we
are pleased to have accepted seven
articles and will publish them in two
parts, where readers can interact with
the immersive articles by changing
parameters or moving objects to
explore the AI/CI techniques in the
interactive contents on IEEE Xplore.
In Part I, the first article uses interactive
formation of groups to explain the
concepts of best-response dynamics
and online learning in regard to game
theory. In the second article, an interactive
approach is presented to demonstrate
evolutionary ensemble learning
based on genetic programming and
MAP-Elites. The third article compares
the Monte Carlo and temporal
difference methods in reinforcement
learning through a game environment.
In the Features,the first article forJim
Keller (right) and Chuan-Kang Ting (left) on a
cruise boat at IEEE CEC 2023 in Chicago.
mulates a 10-objective optimization problem for energymanagement and attempts to solve
this problem with surrogate-assisted multiobjective evolutionary algorithms. The second
article proposes leveraging the regularity property through a learning strategy to guide the
evolutionary search for performance improvement. In the third article, a new divide-andconquer
strategy is integrated with global optimization to deal with the large scale multidepot
capacitated arc routing problem. The Columns article presents a deep learning framework
with feature interaction and dual branch for point cloud registration.
We cordially invite readers to enjoy both the physical reading experience of the
print copy and the intriguing interactive contents of the digital version. If you have any
suggestions or feedback for this magazine, please do not hesitate to contact me at
ckting@cs.nthu.edu.tw.
Digital Object Identifier 10.1109/MCI.2023.3306147
Date ofcurrent version: 17 October 2023
2 IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | NOVEMBER 2023
1556-603X ß 2023 IEEE

https://orcid.org/0000-0002-0838-3320 https://www.ieee.org/about/corporate/governance/p9-26.html https://www.ieee.org/about/corporate/governance/p9-26.html

IEEE Computational Intelligence Magazine - November 2023

Table of Contents for the Digital Edition of IEEE Computational Intelligence Magazine - November 2023