Automated generation of programs for a class of parametric neuroevolution algorithms

• Published in: PROBLEMS IN PROGRAMMING
• Date: 2023
• Issue: 3-4
• Pages: 301-310
• ISSN: 1727-4907
• Author Affiliations: A.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine; I.Z. Achour — NTUU "KPI"
• Main Authors: Doroshenko, A.Yu., Achour, I.Z.
• Format: Article
• Language: Ukrainian
• Published: PROBLEMS IN PROGRAMMING 2023
• Subjects: automated program design; algebra of algorithms; hyperscheme; neuroevolution; neural network; parallel and distributed computing; cloud computing; UDC 004.4’24; 004.896
• Online Access: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/531
• Journal Title: Problems in programming

The facilities of algebra of hyperschemes are applied for automated generation of neuroevolution algorithms on an example of a binary multiplexer evaluation problem, which is a part of the SharpNEAT system. SharpNEAT is an open-source framework developed in C# programming language, which implements...