Multi-Objective Memetic Algorithms with Tree-Based Genetic Programming and Local Search for Symbolic Regression

Symbolic regression is to search the space of mathematical expressions to find a model that best fits a given dataset. As genetic programming (GP) with the tree representation can represent solutions as expression trees, it is popularly-used for regression. However, GP tends to evolve unnecessarily...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Neural processing letters Jg. 53; H. 3; S. 2197 - 2219
Hauptverfasser:	Liang, Jiayu, Xue, Yu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2021 Springer Nature B.V
Schlagworte:	Artificial Intelligence Complex Systems Computational Intelligence Computer Science Genetic algorithms Multiple objective analysis Mutation Operators (mathematics) Optimization techniques Regression Search methods Semantics Sorting algorithms Memetic algorithm Local search Multi-objective optimization Genetic programming
ISSN:	1370-4621, 1573-773X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!