Akademik Veri Yönetim Sistemi
International Conference on Engineering Technologies (ICENTE’22), 17 - 19 Kasım 2022, ss.131-136
Evolutionary computation is a computer intelligence system inspired by natural evolution. Automatic programming methods based on evolutionary computation, such as genetic programming (GP), ant programming (AP), artificial bee colony programming (ABCP), and immune plasma programming (IPP), successfully find effective solutions to various types of problems in many fields. This paper sets out to investigate the results of different configurations of IPP with the number of recipients (𝑵𝒐𝑹) and the number of donors (𝑵𝒐𝑫). To distinguish between these results, we used 10 different donor and receiver combinations and applied them to 15 symbolic regression problems. These results shows that IPP can successfully solve symbolic regression problems and the best combination of 𝑵𝒐𝑹 and 𝑵𝒐𝑫 is 2-1.