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...

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Bibliographic Details
Published in:	Neural processing letters Vol. 53; no. 3; pp. 2197 - 2219
Main Authors:	Liang, Jiayu, Xue, Yu
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2021 Springer Nature B.V
Subjects:	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 Access:	Get full text
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