Guvenc, UgurOzkaya, BurcinBakir, HuseyinDuman, SerhatBingol, Okan2021-12-012021-12-012020978-3-030-36178-5; 978-3-030-36177-82367-4512https://doi.org/10.1007/978-3-030-36178-5_28https://hdl.handle.net/20.500.12684/10579International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYEnergy hub receives various energy carriers such as gas, electricity, and heat in its input and then converts them into required demands such as gas, cool, heat, compressed air, and electricity. The energy hub economic dispatch problem is a non-smooth, high-dimension, non-convex, and non-differential problem, it should be solved subject to equality and inequality constraints. In this study, symbiotic organisms search algorithm is carried out for energy hub economic dispatch problem to minimize the energy cost of the system. In an attempt to show the efficiency of the proposed algorithm, an energy hub system, which has 7 hubs and 17 energy production units, has been used. Simulation results of the symbiotic organisms search algorithm have been compared with some heuristic algorithms to show the ability of the proposed algorithm.en10.1007/978-3-030-36178-5_28info:eu-repo/semantics/closedAccessEnergy hubEnergy hub economic dispatchSymbiotic organisms search algorithmOptimizationSystemsModelConference Object433753852-s2.0-85083423229WOS:000678771000028Q3N/A