Work

G enesys : A Novel Evolutionary Program Synthesis Tool with Continuous Optimization

Year: 2025

Type: article

Source: ACM transactions on probabilistic machine learning.

DOI: 10.1145/3776736

Authors: Shantanu Mandal, Todd Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid

Institutions: Texas A&M University, Intel (United States), Stanford University

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4416187200

FWCI: 0.408

Cites: 28

Cited by: 1

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