Gul, Muhammed FurkanArslan, Sibel2024-10-262024-10-262023979-8-3503-4355-72165-0608https://doi.org/10.1109/SIU59756.2023.10223926https://hdl.handle.net/20.500.12418/2741031st IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUL 05-08, 2023 -- Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEYAutomatic Programming (AP) is one of the subfields of artificial intelligence that enables efficient modeling of systems. Immune Plasma Programming (IPP), one of the newly proposed AP methods, is developed taking inspiration from plasma treatment. In this study, mathematical models using IPP for time series prediction are proposed. It is also compared with wellknown AP methods such as Genetic Programming and Artificial Bee Colony Programming. According to the simulation results, IPP has proven that it can be applied to real-world problems by showing superior performance on various performance criteria compared to other methods.tr10.1109/SIU59756.2023.10223926info:eu-repo/semantics/closedAccessautomatic programmingimmune plasma programmingtime series predictionConference Object2-s2.0-85173524321N/AWOS:001062571000156N/A