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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Vydané v:	Neural processing letters Ročník 53; číslo 3; s. 2197 - 2219
Hlavní autori:	Liang, Jiayu, Xue, Yu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2021 Springer Nature B.V
Predmet:	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
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