A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming (2018)
Attributed to:
DAASE: Dynamic Adaptive Automated Software Engineering
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.asoc.2017.10.002
Publication URI: http://dx.doi.org/10.1016/j.asoc.2017.10.002
Type: Journal Article/Review
Parent Publication: Applied Soft Computing