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

The IEEE Symposium on Model Based Evolutionary Algorithms (IEEE MBEA’2021) will be held simultaneously with other symposia and workshops in one location at the 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI’2021). 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 2021 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.

Topics

IEEE MBEA’2021 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

Symposium Chairs