A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms-Reference-Cited by-同舟云学术

A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms

Published:2023-02 Issue:1 Volume:27 Page:82-97
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Sobania Dominik¹^ORCID,Schweim Dirk²,Rothlauf Franz¹^ORCID

Affiliation:

1. Information Systems Department, Johannes Gutenberg University, Mainz, Germany

2. Information Systems Department, Baden-Wuerttemberg Cooperative State University, Heidenheim, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/10032250/09743417.pdf?arnumber=9743417

Reference107 articles.

1. Using graph databases to explore the dynamics of genetic programming runs;mcphee;Genetic Programming Theory and Practice X,2016

2. General program synthesis from examples using genetic programming with parent selection based on random lexicographic orderings of test cases;helmuth,2015

3. Comparing and combining lexicase selection and novelty search

4. Lexicase selection of specialists

5. Assessment of problem modality by differential performance of lexicase selection in genetic programming

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