Nature-inspired computation and its optimization algorithms such as particle swarm optimization and firefly algorithm have become effective and popular in recent years, and they have been applied to optimize design parameters in many nonlinear problems in engineering and industries. These algorithms have also been used to tune and optimize hyperparameters related to applications in deep learning and data mining. This symposium intends to provide a timely platform for researchers to exchange ideas and discuss the recent developments in both areas of nature-inspired computation and engineering applications so as to enable further developments.
Topics
This symposium welcomes original, unpublished contributions from authors.
Topics include (but not limited):
- Nature-inspired optimization algorithms
- Swarm intelligence, evolutionary computation and nature-inspired computation
- Parameter tuning and sensitivity analysis
- Hyperparameter optimization
- Engineering design and optimization
- Theoretical analysis, stability and convergence of algorithms
- Applications such as networks optimization, combinatorial optimization, engineering designs, image processing and data mining
- Industrial applications and case studies
Symposium Chairs
- João Paulo Papa
joao.papa@unesp.br
São Paulo State University, Brazil - Xin-She Yang
x.yang@mdx.ac.uk
Middlesex University London, UK
Programme Committee
- Javier Lorente, Tecnalia, Spain
- Eneko Osaba, Tecnalia, Spain
- Leandro Passos, Sao Paulo State University, Brazil
- Mohammed Al-Betar, Ajman University, United Arab Emirates
- Mustafa Ayvaz, Pamukkale Universitesi, Turkey
- Gebrail Bekdas, Istanbul Universitesi-Cerrahpasa, Turkey
- Zong Woo, Geem Gachon University, South Korea
- Chien Su, Fong Multimedia University Malaysia, Malaysia
- Danilo Sipoli Sanches, Federal University of Technology, Parana Brazil
- Douglas Rodrigues, Sao Paulo State University, Brazil
- Leandro Rodrigues, Pontifical Catholic University of Parana and Federal, University of Parana Brazil
- Momin Jamil Harman, Becker Automotive Systems GmbH, Germany
- Andre Carvalho, University of Sao Paulo, Brazil
- Gisele Pappa, Federal University of Minas Gerais, Brazil
- Milan Tuba, Singidunum University, Serbia
- Andres Iglesia, University of Cantabria, Spain