Saturday 5 January 2019

CFP: International Conference on Advanced Computational Intelligence (ICACI 2019) (15 Jan)

The Eleventh International Conference on Advanced Computational Intelligence (ICACI2019) will be held in Guilin, China during June 7-9, 2019. ICACI2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. In addition, best paper awards will be given during the conference. The proceedings of ICACI2019 will be submitted for inclusion into the IEEE Xplore Database which is indexed by EI Compendex and Scopus. Moreover, selected papers with extended version will be recommended to publish in special issues of related journals. The conference will favor papers representing advanced theories and innovative applications in computational intelligence.

Prospective authors are invited to contribute high-quality papers to ICACI2019. In addition, proposals for special sessions within the technical scopes of the conference are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information on the organizers.

Topics Areas

Topics areas include, but not limited to, computational neuroscience, connectionist theory and cognitive science, mathematical modeling of neural systems, neurodynamic analysis, neurodynamic optimization, adaptive dynamic programming, embedded neural systems, probabilistic and information-theoretic methods, principal and independent component analysis, hybrid intelligent systems, supervised, unsupervised and reinforcement learning, deep learning, brain imaging and neural information processing, neuroinformatics and bioinformatics, support vector machines and kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotic and control applications, telecommunications, transportation systems, intrusion detection and fault diagnosis, hardware implementation, real-world applications, big data processing, fuzzy systems, fuzzy logic, fuzzy set theory, fuzzy decision making, fuzzy information processing, fuzzy logic control, evolutionary computation, ant colony optimization, genetic algorithms, parallel and distributed algorithms, particle swarm optimization, differential evolution, evolving neural networks, evolutionary fuzzy systems, evolving neuro-fuzzy systems, evolutionary games and multi-agent systems, intelligent systems applications.

Important Dates

Special session proposals deadline: Dec. 1, 2018
Paper submission deadline(extented): Jan. 1, 2019 Jan. 15, 2019
Notification of acceptance: Mar. 1, 2019
Camera-ready copy and author registration: Apr. 1, 2019

Instructions for authors:

1. Paper Format: Please use the A4 format, Times New Roman of font size 10, single spaced, and two columns. Do not number your manuscript pages and do not use the US letter format. Please use the IEEE template (Microsoft Word or Latex) to prepare your manuscript. The templates are available from:

2. We can only accept PDF files. All submitted papers should be limited to a maximum length of 6 pages, including figures, tables, and references. Up to two additional pages will be permitted for a charge of USD 160 per additional page.

3. The Submission will be done via EasyChair system:


General Chairs

Tianlong Gu, Guilin University of Electronic Technology, Guilin, China
Xiaonan Luo, Guilin University of Electronic Technology, Guilin, China
Jun Zhang, South China University of Technology, Guangzhou, China

Advisory Chairs

C. L. Philip Chen, University of Macau, Macao
Xin Yao, University of Birmingham, Birmingham, UK, and Southern University of Science and Technology, Shenzhen, China
Gary G. Yen, Oklahoma State University, Stillwater, OK, USA

Steering Chairs

Derong Liu, University of Illinois – Chicago, Chicago, USA
Jun Wang, City University of Hong Kong, Hong Kong

Organizing Chair

Liang Chang, Guilin University of Electronic Technology, Guilin, China

Program Chairs

Chia-Feng Juang, National Chung-Hsing University, Taichung, Taiwan
Zhihui Zhan, South China University of Technology, Guangzhou, China
Nian Zhang, University of District of Columbia, Washington, USA

Special Sessions Chairs

Tingwen Huang, Texas A&M University –Qatar, Qatar
Zhiwen Yu, South China University of Technology, Guangzhou, China
Dongbin Zhao, University of Chinese Academy of Sciences, Beijing, China

Publicity Chairs

Jinde Cao, Southeast University, Nanjing, China
Min Han, Dalian University of Technology, Dalian, China
Yuanqing Li, South China University of Technology, Guangzhou, China
Zhang Yi, Sichuan University, Chengdu, China
Zhigang Zeng, Huazhong University of Science and Technology, Wuhan, China

Publications Chairs

Yuejiao Gong, South China University of Technology, Guangzhou, China
Qiuyuan Luo, South China University of Technology, Guangzhou, China
Zhenbing Liu, Guilin University of Electronic Technology, Guilin, China
Huadeng Wang, Guilin University of Electronic Technology, Guilin, China

Registration Chairs

Ziming Wang and Jiayu Huang, Guilin University of Electronic Technology, Guilin, China

Local Arrangements Chairs

Rushi Lan and Li Li, Guilin University of Electronic Technology, Guilin, China

CFP: IEEE CEC 2019 Special Session on When Evolutionary Computation Meets Data Mining

Many of the tasks carried out in data mining and machine learning, such as feature subset selection, associate rule mining, and model building, can be transformed as optimization problems. Thus it is very natural that Evolutionary Computation (EC), has been widely applied to these tasks in the fields of data mining (DM) and machine learning (ML), as an optimization technique.

On the other hand, EC is a class of population-based iterative algorithms, which generate abundant data about the search space, problem feature and population information during the optimization process. Therefore, the data mining and machine learning techniques can also be used to analyze these data for improving the performance of EC. A lot of successful applications have been reported, including the creation of new optimization paradigm such as Estimation of Distribution Algorithm, the adaptation of parameters or operators in an algorithm, mining the external archive for promising search regions, and so on.

However, there remain many open issues and opportunities that are continually emerging as intriguing challenges for bridging the gaps between EC and DM. The aim of this special session is to serve as a forum for scientists in this field to exchange the latest advantages in theories, technologies, and practice.

We invite researchers to submit their original and unpublished work related to, but not limited to, the following topics:

  • EC enhanced by Data Mining and Machine Learning Concepts and/or Framework
  • Data Mining and Machine Learning Based on EC techniques
  • Machine Learning Enhanced and/or Model-based Multi- and/or Many-objective Optimization
  • Data Mining and Machine Learning Enhanced Constrained Optimization:
  • Data Mining and Machine Learning Enhanced Memetic Computation or Local Search
  • Data Mining and Machine Learning Enhanced EC for Combinatorial Optimization
  • Data Mining and Machine Learning Enhanced EC for Large-scale Optimization
  • Data Mining and Machine Learning Enhanced EC for Dynamic Optimization
  • Association Rule Mining Based on Multi-Objective Optimization
  • Knowledge Discovery in Data Mining via Evolutionary Algorithm
  • Genetic Programming in Data Mining
  • Multi-Agent Data Mining using Evolutionary Computation
  • Medical Data Mining with Evolutionary Computation
  • Evolutionary Computation in Intelligent Network Management
  • Evolutionary Clustering in Noisy Data Sets
  • Big Data Projects with Evolutionary Computation
  • Deep Learning with Evolutionary Computation
  • Real World Applications

Paper Submission:

All papers should be submitted electronically through IEEE CEC 2017 website at To submit your papers to the special session, please select the Special Session in the Main Research topic. For more submission information please visit: All accepted papers will be published in the IEEE CEC 2017 electronic proceedings.


Zhun Fan
Shantou University, China

Xinye Cai
Nanjing University of Aeronautics and Astronautics, China

CFP: IEEE CEC 2019 Special Session on Evolutionary Computation for Music, Art, and Creativity

Creativity and Intelligence are both terms that have been deeply studied for centuries but still generate debates. Scholars frequently relate both terms, establishing connections that allows to understand the relationship between general intelligence and creativity. Both are considered required for addressing challenging problems, and also for creating art or appealing designs. Music, Literature, Architecture, Painting, Crafts, Industrial Design,... all could benefit from a better understanding and conceptualization of the processes behind Creativity and Intelligence. Although computers have exceeded the capabilities of humans in a number of limited domains, human creativity generally remains unchallenged, and only recently some techniques, such as Computational Intelligence, have begun to address problems related to creativity. Computational Intelligence (CI) is a term that embodies a number of nature-inspired techniques. CI includes Evolutionary Computation, Neural Networks, Fuzzy logic Systems and other techniques derived from them, such as Swarm Optimization, Artificial Immune Systems, Ant Colony Optimization to name but a few. CI is routinely applied nowadays to solving complex real life problems. Despite the great variety of methods and applications, only very recently, researchers have considered the capabilities of CI when applied to creative processes. Nevertheless, the finding of a general model for creativity and its relationship with Intelligence is far to be found.


This task force aims at promoting the study of Creativity and its connection to Intelligence from the point of view of Computational Intelligence. The task force will promote the study of computational creative discovery by means of CI, with the aim of both enhancing human creativity and also generation of autonomous creative behaviors. Artist creation will be an area of research: we will pay attention to visual art and music composition. We will pursue the application of CI to any branch of Art and Design, included but not limited to Architecture, Painting, Music, Literature, to name but a few.

The task force will also be interested in the study of the underlying mental processes leading to creativity, and their translation to hardware and software implementation.

The task force will be appealing for researchers from a variety of disciplines and backgrounds, with coverage across the arts and sciences, with interest in the application of an interdisciplinary approach.


The scope of this task force include the following topics:

  • Contribute to fundamental understanding of artistic creativity.
  • Contribute to Computational Intelligence approaches to creativity in humans and machines.
  • Develop new CI based methodologies for generation of music, visual art, literature, architecture, and industrial design.
  • Develop new methodologies based on evolutionary ecosystems dynamics for creative discovery.
  • Develop new methodologies allowing the interaction between human and computer based creativity.
  • Studying hardware platforms and software implementation leading to better creative systems.

Chuan-Kang Ting, National Chung Cheng University, Taiwan

Francisco Fernández de Vega, University of Extremadura, Spain

Further information:

CFP: IEEE CEC 2019 Special Session on Data-Driven Evolutionary Optimization of Computationally Expensive Problems

Meta-heuristic algorithms, including evolutionary algorithms and swarm optimization, face challenges when solving time-consuming problems, as typically these approaches require thousands of function evaluations to arrive at solutions that are of reasonable quality. Surrogate models, which are computationally cheap, have in recent years gained in popularity in assisting meta-heuristic optimization, by replacing the compute-expense/time-expensive problem during phases of the heuristic search. However, due to the curse of dimensionality, it is very difficult, if not impossible to train accurate surrogate models. Thus, appropriate model management techniques, memetic strategies and other schemes are often indispensable. In addition, modern data analytics involving advance sampling techniques and learning techniques such as semi-supervised learning, transfer learning and active learning are highly beneficial for speeding up evolutionary search while bringing new insights into the problems of interest. This special session aims at bringing together researchers from both academia and industry to explore future directions in this field. 

Scope and Topics

The topics of this special issue include but are not limited to the following topics:

  • Surrogate-assisted evolutionary optimization for computationally expensive problems
  • Adaptive sampling using machine learning and statistical techniques
  • Surrogate model management in evolutionary optimization
  • Data-driven optimization using big data and data analytics
  • Knowledge acquisition from data and reuse for evolutionary optimization
  • Computationally efficient evolutionary algorithms for large scale and/or many-objective optimization problems
  • Real world applications including multi-disciplinary optimization.

Important Dates

Submission deadline:7 January 2019
Notification: 7 March 2019
Final paper submission: 31 March 2019
Early Registration: 31 March 2019


The papers must be submitted online through the manuscript submission system ( 


Prof. Chaoli Sun, Department of Computer Science and Technology, Taiywan University of Science and Technology, China. 

Prof. Jonathan Fieldsend, Department of Computer Science, University of Exeter, United Kingdom. 

Prof. Yew-Soon Ong, School of Computer Engenieering, Nanyang Technological University, Singapore. 

CFP: IEEE CEC 2019 Special Session on Memetic Computing

Memetic Computing (MC) represents a broad generic framework using the notion of meme(s) as units of information encoded in computational representations for the purpose of problem-solving. In the literature, MC has been successfully manifested as memetic algorithm, where meme has been typically perceived as individual learning procedures, adaptive improvement procedures or local search operators that enhance the capability of population based search algorithms. More recently, novel manifestations of meme in the forms such as knowledge building-block, decision tree, artificial neural works, fuzzy system, graphs, etc., have also been proposed for efficient problem-solving. These meme-inspired algorithms, frameworks and paradigms have demonstrated with considerable success in various real-world applications.

The aim of this special session on memetic computing is to provide a forum for researchers in this field to exchange the latest advances in theories, technologies, and practice of memetic computing.

Scope and Topics

The scope of this special session covers, but is not limited to:

  • Single/Multi-Objective memetic algorithms for continuous or combinatorial optimization
  • Theoretical studies that enhance our understandings on the behaviors of memetic computing
  • Adaptive systems and meme coordination
  • Novel manifestations of memes for problem-solving
  • Cognitive, Brain, individual learning, and social learning inspired memetic computation
  • Self-design algorithms in memetic computing
  • Memetic frameworks using surrogate or approximation methods
  • Memetic automaton, cognitive and brain inspired agent based memetic computing
  • Data mining and knowledge learning in memetic computation paradigm
  • Memetic computing for expensive and complex real-world problems
  • Evolutionary multi-tasking

Paper Submission

Papers for IEEE CEC 2019 should be submitted electronically through the Congress website at, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. To submit your papers to the special session, please select the Special Session name in the Main Research topic.

For more submission information please visit:
All accepted papers will be published in the IEEE CEC 2019 electronic proceedings, included in the IEEE Xplore digital library, and indexed by  EI Compendex. High quality papers will be invited to extend and submit to the Memetic Computing Journal.

Important Dates

Submission Deadline: January 7, 2019
Notification of Acceptance: March 7, 2019

CFP: IEEE CEC 2019 Special Session on Speciation

Although Evolutionary Algorithms are very good at mimicking adaptation within a species to optimize solutions for difficult problems, creating algorithms that can mimic the development of two or more species from a common ancestor has been a challenge. There are versions of Evolutionary Algorithms that have some characteristics of speciation, but none that match natural processes. Such algorithms would be a good step in the development of a general purpose Evolutionary Algorithm and would help in understanding the principles of evolution. In regards to this research, we consider a population to be distinct (and a separate species) if it is made up of individuals that are unable to produce viable offspring with individuals from the other population or if offspring are produced, they are sterile. The short term goal, which is reasonable for this special session, is to have individuals of differing species choose not to mate and if they do produce offspring, the offspring do not continue to reproduce. In this way, the gene pools for each of the species will be isolated.

The purpose of this special session is to bring together people working on Evolutionary Algorithms that tend toward or have the potential for speciation. Some possible topics of interest include:

  • Evolutionary algorithms mimicking allopatric or sympatric speciation
  • Environments for research in natural speciation
  • Biologically-inspired models of interactive agents
  • Spatially-structured populations
  • Niching
  • Island models
  • Use of topology in populations
  • Formation of sub-populations
  • Selection criteria in evolutionary algorithms
  • Co-evolution
  • Multi-agent systems
  • Multimodal function optimization

Paper Submission

Papers should be submitted through the IEEE CEC 2019 paper submission website. Please specify that your paper is submitted to the Special Session on Speciation. All papers accepted and presented at CEC2019 will be included in the conference proceedings.

The submission deadline, date of notification, and the final paper submission dealine are the same as for regular conference papers -- these dates can be found at


Gary Parker - Department of Computer Science, Connecticut College, New London, Connecticut, USA

Peter Whigham - Department of Information Science, University of Otago, Dunedin, Otago, New Zealand.

Thursday 3 January 2019


IEEE WCCI 2020 IEEE World Congress on Computational Intelligence 19th - 24th July 2020 Glasgow                                Glasgow, Scotland, UK []

The IEEE World Congress on Computational Intelligence (IEEE WCCI)isthe world's largest technical eventinthe field of computational intelligence. The IEEE WCCI 2020 will host three conferences: The 2020 InternationalJointConference on Neural Networks (IJCNN2020),the 2020IEEEInternationalCon­ferenceon FuzzySystems (FUZZ-IEEE 2020), and the 2020 IEEECongresson Evolutionary Computation (IEEECEC2020) under oneroof. Itencourages cross-fertilisationof ideasamong the threebigareas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence.

IEEE WCCI 2020 will be held in Glasgow - one of Europe's most dynamic cultural capitals and the "world's friendliest city" - located in Scotland, "the most beautiful country in the world" [Rough Guides 2015, 2017]. Steeped in cul­ture, rich in history and alive with an excitement visitors will sense as they walk through its elegant Victorian streets, squares, parks and gardens. The Conference is being hosted at the prestigious Scottish Event Campus (SEC), which was a key venue for the Glasgow Commonwealth Games 2014 [•uk/ ].
IJCNN is the flagship conference of the International Neural Network Society and the IEEE Computational Intelli­gence Society. It covers a wide range of topics in the field of neural networks, from biological neural network mod­elling to artificial neural computation.
FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.
IEEE CEC is the leading event in the field of evolutionary computation, and covers all topics in evolutionary compu­tation from theory to applications.
Important Dates
Nov 2019 Special Session & Workshop Proposals Deadline 
15 Dec 2019 Competition and Tutorial Proposals Deadline
15 Jan 2019 Paper Submission Deadline
15 Mar 2020 Paper Acceptance Notification Date
15 April 2020 Final Paper Submission and Early Registration Deadline 
19-24 July 2020 IEEE WCCI 2020, Glasgow, Scotland, UK

Register your interest online (http://wcci2020.orgfor regular updates

Call for Papers
Electronic submission of papers for IEEE WCCI 2020 will be required through the Congress website at www.wcci2020.orgAll papers will be refereed by experts in the fields and ranked based on the criteria of original­ity, significance, quality and clarity. See Important Dates above.

Call for Tutorials
IEEE WCCI 2020 will solicit proposals for tutorials offering a unique opportunity to disseminate in-depth informa­tion on specific topics in computational intelligence. Tutorials will be organized by scientists or professionals who have significant expertise in the selected topic and whose recent work has had a significant impact in their field. For enquiries, please contact the Tutorials Co-Chair most appropriate to your topic.

Call for Special Sessions
IEEE WCCI 2020 will solicit proposals for Special Sessions within the technical scope of the three conferences. Spe­cial Sessions are expected to be organised by internationally recognised experts, with aims to bring together re­searchers in special focused topics. Cross-fertilisation of the three technical disciplines and newly emerging re­search areas are strongly encouraged. Inquiries should be addressed to the Special Session co-Chair most appropri­ate to your topic.

Call for Workshops
IEEE WCCI 2020 will solicit proposals for half or full-day workshops to provide participants with the opportunity to present and discuss novel research ideas on active and emerging CI topics, challenging problems and/or industrial applications. Workshop organizers are encouraged to make their workshops highly interactive, and include discus­sions, Q&A and panel sessions to facilitate a lively exchange of ideas among the attendees. Inquiries regarding should be addressed to the Workshops Chairs.

Call for Competitions
IEEE WCCI 2020 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organisers. Inquiries regarding competitions should be addressed to the Competitions Chairs.

General Co-Chairs
Amir Hussain, UK
Manes M. Polycarpo, Cyprus Xin Yao, China
IJCNN Conference Chair Asim Roy, USA
IJCNN Technical Chairs
Peter Erdi, USA
Daniel S. Levine, USA Danilo Mandic, UK Chrisina Jayne, UK
FUZZ-IEEEConference Chair Nikhil R Pal, India
FUZZ-IEEETechnicalChairs Oscar Cordon, Spain
Hani Hagras, UK
Hak-Keung Lam, UK Chin-Teng Lin, Australia
IEEECECConference Chair Yaochu Jin, UK
IEEE CEC Technical Chairs Hisao Ishibuchi, Japan
ling Liu, China
Dipti Srinivasan, Singapore Andy Tyrrell, UK

For all WCCI Chairs please visit conference website