Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression-Reference-Cited by-同舟云学术

Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression

Published:2022-09 Issue: Volume: Page:
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Container-title:2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
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Author:

Kronberger Gabriel¹

Affiliation:

1. University of Applied Sciences Upper Austria,Josef Ressel Center for Symbolic Regression Heuristic and Evolutionary Algorithms Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10130844/10130822/10130940.pdf?arnumber=10130940

Reference25 articles.

1. Evaluating the effects of local search in genetic programming;trujillo;EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation,2014

2. Faster genetic programming based on local gradient search of numeric leaf values;topchy;Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001),2001

3. Local Search is Underused in Genetic Programming

4. Evaluating the Effects of Local Search in Genetic Programming

5. An Algorithm for Least-Squares Estimation of Nonlinear Parameters

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