FCEA: Bio-inspiration Computation Methods

Total cited number of our papers, bio-inspiration computation methods (called FCEA) and their applications, was over 250.

FCEA combines adaptive mutations and family competition to solve optimization problems in widely differing fields (e.g. function optimization , constrained optimization, and thin-film design, neural networks) and Bioinformatics applications (e.g. protein-ligand interactions, protein-protein interaction sites, protein folding, Microarray analysis, and QSAR model).

Machine Learning

We coperate with...