Abstract
We present EasyGenetic, a genetic solver based on template metaprogramming, that enables the user to configure the solver by instantiating template parameters. The framework allows to combine flexibility with efficiency. The framework is mainly designed to be applied to problems for which a master-slave solution strategy can be defined. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Benedettini, S., Roli, A., & Di Gaspero, L. (2009). EasyGenetic: A template metaprogramming framework for genetic master-slave algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5752 LNCS, pp. 135–139). https://doi.org/10.1007/978-3-642-03751-1_14
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
