Paper Info
Title
Evolving dynamic fitness measures for genetic programming.
Abstract
•Further research is conducted on dynamic fitness measure genetic programming.•Meta genetic programming is used to evolve the dynamic fitness measures.•Meta genetic programming approach outperforms the previous approach.•Dynamic fitness measure genetic programming outperforms standard genetic programming.•Reusability of composite fitness measures produced by the new approach.
Year
DOI
Venue
2018
10.1016/j.eswa.2018.03.060
Expert Systems with Applications
Keywords
Field
DocType
Genetic programming,Genetic algorithm,Fitness
Computer science,Genetic programming,Fitness measure,Artificial intelligence,Machine learning,Genetic algorithm
Journal
Volume
ISSN
Citations 
109
0957-4174
0
PageRank 
References 
Authors
0.34
28
2
Name
Order
Citations
PageRank
Anisa W. Ragalo111.02
Nelishia Pillay223733.72