An Analysis of a Model-based Evolutionary Algorithm: Learnable Evolution Model
dc.contributor.advisor | De Jong, Kenneth A. | |
dc.contributor.author | Coletti, Mark | |
dc.creator | Coletti, Mark | |
dc.date.accessioned | 2014-09-18T01:56:58Z | |
dc.date.available | 2014-09-18T01:56:58Z | |
dc.date.issued | 2014-05 | |
dc.description.abstract | An evolutionary algorithm (EA) is a biologically inspired metaheuristic that uses mutation, crossover, reproduction, and selection operators | |
dc.format.extent | 245 pages | |
dc.identifier.uri | https://hdl.handle.net/1920/8922 | |
dc.language.iso | en | |
dc.rights | Copyright 2014 Mark Coletti | |
dc.subject | Artificial intelligence | |
dc.subject | Artificial intelligence | |
dc.subject | Evolutionary computation | |
dc.subject | Machine learning | |
dc.title | An Analysis of a Model-based Evolutionary Algorithm: Learnable Evolution Model | |
dc.type | Dissertation | |
thesis.degree.discipline | Computer Science | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Doctoral |