Search Results for author:
Found 6 papers, 1 papers with code
Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation
In this paper, both problems are solved together without approximations or simplifications.
General Subpopulation Framework and Taming the Conflict Inside Populations
Structured evolutionary algorithms have been investigated for some time.
Self Organizing Classifiers and Niched Fitness
In fact, the proposed algorithm possesses a dynamical population structure that self-organizes itself to better project the input space into a map.
Contingency Training
Experiments are conducted with the contingency training applied to neural networks over traditional datasets as well as datasets with additional irrelevant variables.
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning
Here, a variation of the first algorithm is proposed which uses a parameterless self organizing map (SOM).
Novelty-organizing team of classifiers in noisy and dynamic environments
Moreover, NOTC is compared with NeuroEvolution of Augmenting Topologies (NEAT) in these problems, revealing a trade-off between the approaches.
