GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning (2013)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s00500-013-1016-8

Publication URI: http://dx.doi.org/10.1007/s00500-013-1016-8

Type: Journal Article/Review

Parent Publication: Soft Computing

Issue: 6