SDE 2014 - IEEE Symposium on Differential Evolution (SDE 2014)

Authors are invited to submit their original and unpublished work in the areas including (but not limited to) the following:
Theoretical analysis of the search mechanism, complexity of DE
Adaptation and tuning of the control parameters of DE
Development of new vector perturbation techniques for DE
Adaptive mixing of the perturbation techniques
Balancing explorative and exploitative tendencies in DE and memetic DE
DE for finding multiple global optima
DE for noisy and dynamic objective functions
DE for multi-objective optimization
Robust DE Variants
Rotationally Invariant DE
Constraints handling with DE
DE for high-dimensional optimization
DE-variants for handling mixed-integer, discrete, and binary optimization problems
Hybridization of DE with other search methods
Hybridization with Paradigms such as Neuro-fuzzy, Statistical Learning, Machine Learning, etc.
Development of challenging problem sets for DE
Applications of DE in any domain.