arXiv · 2211.11937
Genetic Algorithm for Program Synthesis
Abstract
A deductive program synthesis tool takes a specification as input and derives a program that satisfies the specification. The drawback of this approach is that search spaces for such correct programs tend to be enormous, making it difficult to derive correct programs within a realistic timeout. To speed up such program derivation, we improve the search strategy of a deductive program synthesis tool, SuSLik, using evolutionary computation. Our cross-validation shows that the improvement brought by evolutionary computation generalises to unforeseen problems.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Yutaka Nagashima. 2023-01-19. Genetic Algorithm for Program Synthesis. https://arxiv.org/abs/2211.11937
Cite the original work for its findings. Save a collection to share your selection of sources.