A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming (2018)
Abstract
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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