IEEE WCCI 2020 CIMAC

IEEE CEC 2021 Special Session on

Evolutionary Computation for Music, Art, and Creativity

This special session extends our previous events at IEEE CIS conferences:

- Special Session on Computational Intelligence for Music, Art, and Creativity at WCCI 2020
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2019
- Special Session on Computational Intelligence for Music, Art, and Creativity at WCCI 2018
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2017
- Special Session on Computational Intelligence for Music, Art, and Creativity at WCCI 2016
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2015
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2014
- Special Session on Evolutionary Computation for Creative Intelligence at CEC 2013
- IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC 2013) at SSCI 2013
- Special Session on Evolutionary Computation for Creative Intelligence at CEC 2012
- Workshop in Evolutionary Music at CEC 2011

Organizers

This special session is organized by IEEE CIS ETTC Task Force on Creative Intelligence.

Francisco Fernández de Vega

University of Extremadura, Spain

Francisco Fernández is currently Professor of Computer Architecture at the University of Extremadura. He received his BS from the University of Seville 1993, MS from the University of Seville 1997, and Ph.D from the University of Extremadura 2001, and received the best PhD Engineering award in 2002. His research interests include Parallel and Distributed Evolutionary Algorithms and their applications to multiple aspects of art and design. He is associate editor of Artificial Intelligence Communications. He has published more than 250 journal and conference papers. His research on evolutionary art deserved the 2013 ACM Gecco Evolutionary Art, Design and Creativity Competition award. His XYZ collaborative art project was recently selected as finalist at 2017 Show Your World International Competition in New York.

Chuan-Kang Ting

National Tsing Hua University, Taiwan

Chuan-Kang Ting (S’01–M’06–SM’13) received the B.S. degree from National Chiao Tung University, Taiwan, the M.S. degree from National Tsing Hua University, Taiwan, and the Ph.D. degree in Computer Science from the Paderborn University, Germany, in 2005. He is currently a Professor with the Department of Power Mechanical Engineering, National Tsing Hua University, Taiwan. His research interests include evolutionary computation, computational intelligence, machine learning, and their applications in music, arts, networks, bioinformatics, and data analytics. Dr. Ting is the Editor-in-Chief of the IEEE Computational Intelligence Magazine. He is also an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence and an Editorial Board Member of Soft Computing and Memetic Computing journals. He serves as the IEEE CIS Newsletter Editor, the Vice Chair of Intelligent Systems Applications Technical Committee, the Chair of Creative Intelligence Task Force, and the Vice Chair of Intelligent Network Systems Task Force, all in IEEE CIS. He is an Executive Board Member of Taiwanese Association for Artificial Intelligence.

Chien-Hung Liu

AIVA, Luxemburg

Chien-Hung Liu received the B.S. and Ph.D. degrees in computer science and information engineering from National Chung Cheng University, Chiayi, Taiwan, in 2011 and 2017, respectively. His research interests include evolutionary computation, memetic algorithm, deep learning, computer composition, and creative intelligence.

Introduction to the special session

Evolutionary computation (EC) techniques, including genetic algorithm, evolution strategies, genetic programming, particle swarm optimization, ant colony optimization, differential evolution, and memetic algorithms have shown to be effective for search and optimization problems. Recently, EC and deep neural networks gained several promising results and become important tools in computational creativity, such as in music, visual art, literature, architecture, and industrial design.

The aim of this special session is to reflect the most recent advances of EC for Music, Art, and Creativity, with the goal to enhance autonomous creative systems as well as human creativity. This session will allow researchers to share experiences and present their new ways for taking advantage of EC techniques in computational creativity. Topics of interest include, but are not limited to, EC in the following aspects:

- Generation of music, visual art, literature, architecture, and industrial design
- Algorithmic design in creative intelligence
- Application of EC to music analysis, classification/clustering, composition, variation and improvisation
- Optimization in creativity
- Development of hardware and software for creative systems
- Evaluation methodologies
- Assistance of human creativity
- Computational aesthetics
- Emotion response
- Human-machine creativity

Keywords

Evolutionary computation, deep learning, computational creativity, music, visual arts, creative intelligence, emotion response, aesthetics

Program Committee (provisional)

Peter Bentley, University College London, UK
Jonathan Chan, King Mongkut's University of Technology Thonburi, Thailand
Carlos Cotta, Universiy of Malaga, Spain
Roberto De Prisco, Università di Salerno, Italy
Alan Dorin, Monash University, Australia
Carlos Fernandes, Technical University of Lisbon, Portugal
Pablo Gervás, Complutense University of Madrid, Spain
Anna Jordanous, King's College London, UK
Oliver Kramer, Carl von Ossietzky Universität, Germany
Penousal Machado, University of Coimbra, Portugal
Ruli Manurung, University of Indonesia, Indonesia
Jon McCormack, Monash University, Australia
James McDermott, Massachusetts Institute of Technology, USA
Eduardo Miranda, University of Plymouth, UK
Ong Yew Soon, Nanyang Technological University, Singapore
Kevin Wong, Murdoch University, Australia

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