CIDUE 2014 - IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE 2014)

Computational Intelligence (CI) methodologies, including evolutionary algorithms, neural networks and fuzzy systems have shown to be sell suited to deal with significant uncertainties that may be encountered in solving real-world problems. The purpose of this symposium is to bring together scientists, engineers, and graduate students to present and discuss recent advances in employing CI for solving scientific and engineering problems in the presence of uncertainties.
Topics
Topics of the interest include but are not limited to:
Evolutionary computation in dynamic and uncertain environments
Use of surrogates for single and multi-objective optimization
Search for robust solutions over space and time
Dynamic single and multi-objective optimization
Handling noisy fitness functions
Learning and adaptation in evolutionary computation
Learning in non-stationary and uncertain environments
Incremental and lifelong learning
Online and interactive learning
Dealing with catastrophic forgetting
Active and autonomous learning in changing environments
Ensemble techniques
Multi-objective learning
Hybrid methodologies for dealing with uncertainties
Interactions of evolution and learning in changing environments
Benchmarks, performance measures, and real-world applications