Aim and ScopeEvolutionary 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 gained several promising results and becomes an important tool 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 technologies in the following aspects:
- Generation of music, visual art, literature, architecture, and industrial design
- Algorithmic design in creative intelligence
- Optimization in creativity
- Development of hardware and software for creative systems
- Evaluation methodologies
- Assistance of human creativity
- Computational aesthetics
- Emotion response
- Human-machine creativity
KeywordsEvolutionary computation, computational creativity, music, visual art, creative intelligence, emotion response, and aesthetics
Organizers:This special session is organized by IEEE CIS ETTC Task Force on Creative Intelligence.
National Chung Cheng University, Taiwan
Chuan-Kang Ting (S’01–M’06¬–SM’13) received the B.S. degree from National Chiao Tung University, Taiwan, in 1994, the M.S. degree from National Tsing Hua University, Taiwan, in 1996, and the Ph.D. degree from the University of Paderborn, Germany, in 2005. He is currently an Associate Professor with the Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan. His research interests are in evolutionary computation, computational intelligence, metaheuristic algorithms, and their applications in music, art, computer networks, bioinformatics and games.
Francisco Fernández de Vega
University of Extremadura, Spain
Francisco Fernández is Associate Professor 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. His research interests include Parallel and Distributed Evolutionary Algorithms and their applications to multiple aspects of art and design. He's been guest editor with Soft Computing, Parallel Computing, Journal of Parallel and Distributed, Natural Computing and edited the books Parallel and Distributed Computational Intelligence and Parallel Architectures and Bioinspired Algorithms, with Springer. He is cochair of EvoPar, part of Evo* Conference. He has published more than 200 papers in conferences and journals. His work was recently awarded with the 2013 ACM GECCO Art, Design and Creativity Competition.
University of Gothenburg, Sweden
Palle Dahlstedt is active both as a researcher in the field of computational creativity, and as an internationally recognized composer and improviser. He is associate professor in computer-aided creativity at the Dept. of Applied Information Technology, University of Gothenburg & Chalmers University of Technology, Sweden, and main lecturer in electronic and computer music and artistic director of the Lindblad Studios at the Academy of Music and Drama, University of Gothenburg. His music has been performed on six continents, and received prizes such as the prestigeous Gaudeamus Prize 2001. He has published extensively within the field, and is currently directing a major research project around technology-based creativity in musical performance.