20.500.12556/DKUM-27958 Modeling of forming efficiency using genetic programming This paper proposes new approach for modeling of various processes in metal-forming industry. As an example, we demonstrate the use of genetic programming (GP) for modeling of forming efficiency. The forming efficiency is a basis for determination of yield stress which is the fundamental characteristic of metallic materials. Several different genetically evolved models for forming efficiency on the basis of experimental data for learning were discovered. The obtained models (equations) differ in size, shape, complexity and precision of solutions. In one run out of many runs of our GP system the well-known equation of Siebel was obtained. This fact leads us to opinion that GP is a very powerful evolutionary optimization method appropriate not only for modeling of forming efficiency but also for modeling of many other processes in metal-forming industry. metal forming yield stress forming efficiency mathematical modeling adaptation genetic methods genetic algorithm genetic programming artificial intelligence process optimisation plastično preoblikovanje meja plastičnosti napetost tečenja matematično modeliranje genetski algoritmi genetsko programiranje umetna inteligenca optimizacija procesov true false false Angleški jezik Angleški jezik Neznano 2012-06-01 13:16:21 2012-06-01 13:16:21 2022-04-15 03:45:57 2019-07-10 12:23:18 2001 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.6:621.77 5979414 0924-0136 URN:SI:UM:DK:LDKJ0PJG http://dx.doi.org/10.1016/S0924-0136(00)00783-4 1 https://dk.um.si/Dokument.php?lang=slv&id=37307 Fakulteta za strojništvo 0 0 0