MBEA 2017 - 2017 IEEE Symposium on Model Based Evolutionary Algorithms (IEEE MBEA'17)
Topics/Call fo Papers
IEEE Symposium on Model Based Evolutionary Algorithms (IEEE MBEA' 2017) will be held simultaneously with other symposia and workshops in one location at the 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI' 2017). 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 2017 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' 2017 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:
Estimation of distribution algorithms
Bayesian optimization algorithms
CMA-ES
Bare-bones particle swarm optimization
Bare-bones differential evolution
Regularity analysis for multi-objective optimization
Inverse modelling for multi-objective optimization
Pareto front reconstruction for multi-objective optimization
Objective reduction for many-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
Topics
IEEE MBEA' 2017 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:
Estimation of distribution algorithms
Bayesian optimization algorithms
CMA-ES
Bare-bones particle swarm optimization
Bare-bones differential evolution
Regularity analysis for multi-objective optimization
Inverse modelling for multi-objective optimization
Pareto front reconstruction for multi-objective optimization
Objective reduction for many-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
Other CFPs
- 2017 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM'2017)
- 2017 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (IEEE RiiSS'17)
- 2017 IEEE Symposium on Differential Evolution (IEEE SDE' 17)
- 2017 IEEE Swarm Intelligence Symposium(IEEE SIS' 17)
- 2017 IEEE Symposium on Neuromorphic Cognitive Computing (IEEE SNCC'17)
Last modified: 2017-07-19 16:31:14