IEEE Computational Intelligence Magazine - May 2018 - 2

CIM Editorial Board
Editor-in-Chief
Hisao Ishibuchi
Southern University of Science and Technology
Department of Computer Science and Engineering
Shenzhen, Guangdong, CHINA
Osaka Prefecture University
Department of Computer Science
Sakai, Osaka 599-8531, JAPAN
(Email) hisaoi@cs.osakafu-u.ac.jp

depart title

Founding Editor-in-Chief
Gary G. Yen, Oklahoma State University, USA

Hisao Ishibuchi
Southern University of Science
and Technology, CHINA
Osaka Prefecture University, JAPAN

IEEE CIM Survey Results

Past Editor-in-Chief
Kay Chen Tan, City University of Hong Kong,
HONG KONG
Editors-At-Large
Piero P. Bonissone, Piero P. Bonissone Analytics
LLC, USA
David B. Fogel, Natural Selection, Inc., USA
Vincenzo Piuri, University of Milan, ITALY
Marios M. Polycarpou, University of Cyprus,
CYPRUS
Jacek M. Zurada, University of Louisville, USA
Associate Editors
José M. Alonso, University of Santiago de Compostela, SPAIN
Erik Cambria, NTU, SINGAPORE
Raymond Chiong, The University of Newcastle,
AUSTRALIA
Yun Fu, Northeastern University, USA
Robert Golan, DBmind Technologies Inc., USA
Roderich Gross, The University of Sheffield, UK
Amir Hussain, University of Stirling, UK
John McCall, Robert Gordon University, UK
Zhen Ni, South Dakota State University, USA
Yusuke Nojima, OPU, JAPAN
Nelishia Pillay, University of Pretoria, SOUTH
AFRICA
Rong Qu, University of Nottingham, UK
Dipti Srinivasan, NUS, SINGAPORE
Ricardo H. C. Takahashi, UFMG, BRAZIL
Kyriakos G.Vamvoudakis, Virginia Tech, USA
Nishchal K.Verma, IIT Kanpur, INDIA
Dongrui Wu, DataNova, USA
Bing Xue, Victoria University of Wellington, NEW
ZEALAND
Dongbin Zhao, Chinese Academy of Sciences,
CHINA
IEEE Periodicals/
Magazines Department
Managing Editor, Debby Nowicki
Editorial/Production Associate, Heather Hilton
Senior Art Director, Janet Dudar
Associate Art Director, Gail A. Schnitzer
Production Coordinator, Theresa L. Smith
Director, Business Development-
Media & Advertising, Mark David
Advertising Production Manager,
Felicia Spagnoli
Production Director, Peter M. Tuohy
Editorial Services Director, Kevin Lisankie
Staff Director, Publishing Operations,
Dawn Melley
IEEE prohibits discrimination, harassment, and bullying.
For more information, visit http://www.ieee.org/web/
abou-tus/whatis/policies/p9-26.html.

Digital Object Identifier 10.1109/MCI.2017.2770273

Editor's
Editor's
Remarks

ast October, the CIM conducted a web-based survey. An
e-mail about the survey was sent to 4000 CIS members randomly selected from all IEEE member grades. There were
662 member responses to the survey. Thank you very much for
your help. The survey results were great. For example, 90% of the
respondents think that the overall quality of the CIM is high, and
77% of them agree with the following statement: "The articles in
the publication are relevant to my work or interests". Most members read the CIM
electronically. The rest read the printed version of the magazine (24%) or print out a
downloaded PDF file (15%). Under the Departments section, the Publication
Spotlight had the highest readership (52%) followed by the Book Review (47%),
Journal Call-for-Papers (47%), and Conference Call-for-Papers (42%). I am very
happy that the CIM is highly valued by the CIS members and is playing an important role as a communication channel between the society and its members through
those non-technical articles. Also, the readership of the Editor's Remarks was 30%,
which is slightly higher than the President's Message at 24%.
The survey also included a question about the respondent's interest in various
research areas. The question was "Which of the following topical areas, if any, should
be present in the magazine? Please select all that apply." For this question, a list of 16
areas were selected. I tried to include all the popular research areas related to computational intelligence. The list included robotics, natural language processing, brain
machine interface, and image processing, which were supported by 40-50% of the
respondents. The most popular areas in the survey were artificial intelligence (86%),
machine learning (83%), deep learning (76%), big data (61%), and optimization (55%).
Since computational intelligence is central to many recent advances in artificial intelligence and machine learning, I hope that the CIM will receive more submissions on
these upcoming topics. The CIM is planning to publish a special issue on "Deep
Reinforcement Learning and Games" soon! (submission deadline: October 1, 2018).
The feature topic of the current CIM issue is "Automated Design of Machine
Learning and Search Algorithms". Fully automated algorithm design may be an ultimate goal of algorithm researchers. It would be nice if a meta-algorithm could automatically design an appropriate algorithm for each problem at hand depending on its
characteristics. If we have a high-performance meta-algorithm that is applicable to
various application fields, we do not have to design a different algorithm for a different problem. However, it is extremely difficult to develop such a meta-algorithm since
the design of even a single high-performance algorithm to a specific problem is very
difficult. The core theme in this field is hyper-heuristics. Genetic programming is also
closely related.You will find the latest developments in this field from the feature articles in the current CIM issue. I hope you will enjoy all articles in this issue.

Digital Object Identifier 10.1109/MCI.2018.2806981
Date of publication: 10 April 2018

IEEE ComputatIonaL IntELLIgEnCE magazInE | may 2018

http://www.ieee.org/web/abou-tus/whatis/policies/p9-26.html http://www.ieee.org/web/abou-tus/whatis/policies/p9-26.html

Table of Contents for the Digital Edition of IEEE Computational Intelligence Magazine - May 2018