Interactive genetic algorithms with large population and semi-supervised learning

Abstract

Interactive genetic algorithms are effective methods of solving optimization problems with implicit (qualitative) criteria by incorporating a user’s intelligent evaluation into traditional evolution mechanisms. The heavy evaluation burden of the user, however, is crucial and limits their applications in complex optimization problems. We focus on reducing… (More)
DOI: 10.1016/j.asoc.2012.04.021

Topics

9 Figures and Tables

Cite this paper

@article{Sun2012InteractiveGA, title={Interactive genetic algorithms with large population and semi-supervised learning}, author={Xiaoyan Sun and Dun-Wei Gong and Wei Zhang}, journal={Appl. Soft Comput.}, year={2012}, volume={12}, pages={3004-3013} }