IEEE Symposium on Nature-Inspired Computation in Engineering (IEEE NICE)

IEEE SSCI 2020 will run as a virtual conference.

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This symposium welcomes original, unpublished contributions from authors.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

PC Members:

A. Alihodzic, University of Sarajevo, Bosnia and Herzegovina

M. Al-Betar, Al-Balqa Applied University, Jordan

T. Ayvaz, Pamukkale University, Turkey

G. Bekdas, Instanbul University, Turkey

S. F. Chien, MIMOS Berhad, Malaysia

J. Del Ser, Tecnalia Research and Innovation, Spain

F. De Rango, University of Calabria, Italy

Q. W. Fan, Xi’an Polytechnic University, China

Z. W. Geem, Gachon University, Korea

X. S. He, Xi’an Polytechnic University, China

G. Pappa, Federal University of Minas Gerais, Brazil

A. Ponce, University of São Paulo, Brazil

A. Iglesia Prieto, University of Cantabria, Spain

M. Jamil, Harman International, Germany

E. Osaba, Tecnalia Research and Innovation, Spain

D. S. Sanches, Federal University of Technology, Brazil

M. Santana, São Paulo State University, Brazil

M. Tuba, Singidunum University, Serbia

Y. X. Zhao, Harbin Engineering University, China