3 papers
cs.NE2020
Uncertainty Principle based optimization; new metaheuristics framework
Mojtaba Moattari, Mohammad Hassan Moradi, Emad Roshandel
To more flexibly balance between exploration and exploitation, a new meta-heuristic method based on Uncertainty Principle concepts is proposed in this paper. UP is is proved effect…
cs.NE2019
Modified swarm-based metaheuristics enhance Gradient Descent initialization performance: Application for EEG spatial filtering
Mojtaba Moattari, Mohammad Hassan Moradi, Reza Boostani
Gradient Descent (GD) approximators often fail in the solution space with multiple scales of convexities, i.e., in subspace learning and neural network scenarios. To handle that, o…
cs.NE2019
A New Approach for Optimizing Highly Nonlinear Problems Based on the Observer Effect Concept
Mojtaba Moattari, Emad Roshandel, Shima Kamyab +1
A lot of real-world engineering problems represent dynamicity with nests of nonlinearities due to highly complex network of exponential functions or large number of differential eq…