IEEE Symposium on Model-Based Evolutionary Algorithms (IEEE MBEA)

IEEE SSCI 2020 will run as a virtual conference.

The IEEE Symposium on Model Based Evolutionary Algorithms (IEEE MBEA’2020) will be held simultaneously with other symposia and workshops in one location at the 2020 IEEE Symposium Series on Computational Intelligence (IEEE SSCI’2020). This international event promotes all aspects of the theory and applications of computational intelligence. Sponsored by the IEEE Computational Intelligence Society, this event will attract top researchers, professionals, practitioners and students from around the world. The registration to SSCI 2020 will allow participants to attend all the symposia, including the complete set of the proceedings of all the meetings, coffee breaks, lunches, and the banquet.

Accepted papers will be published in the IEEE SSCI 2020 proceedings and on IEEEXplore, conditioned on registering and presenting the paper at the conference.

Topics

IEEE MBEA’2020 aims to bring together scientists, engineers and students from around the world to discuss the latest advances in the field of machine learning related techniques applied to evolutionary computation, such as theories, algorithms, systems and applications are welcome; these include, but are not limited to:

CMA-ES
Estimation of distribution algorithms
Bayesian optimization algorithms
Evolutionary artificial neural networks
Deep learning and its applications
Bare-bones particle swarm optimization
Bare-bones differential evolution
Inverse modelling for multi-objective optimization
Pareto front reconstruction for multi-objective optimization
Surrogate-assisted evolutionary computation for computationally expensive problems
Surrogate models management in evolutionary computation
Adaptive sampling using machine learning and statistical techniques
Data-driven optimization using big data and data analytics
Evolutionary dynamic optimization
Multifactorial optimization in evolutionary multitasking