Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
This paper focuses on an approach to modeling shapes through the use of evolutionary optimization or genetic algorithms for functionally represented geometric objects. This repres...
We approach the problem of computational crystal structure prediction, implementing an evolutionary algorithm--USPEX (Universal Structure Predictor: Evolutionary Xtallography). St...
Through analysis of present pseudo-parallel genetic algorithm, propose a new dynamic sub-population pseudo-parallel genetic algorithm. It changes the condition that the magnitude o...