Yalcinoz, TAltun, HHasan, UEconomides, CPattichis, CSMaliotis, GPapaconstantinou, MMichaelides, NSchizas, CN2019-08-012019-08-0120000-7803-6290-Xhttps://hdl.handle.net/11480/578510th Mediterranean Electrotechnical Conference on Information Technology and Electrotechnology for the Mediterranean Countries -- MAY 29-31, 2000 -- LEMESOS, CYPRUSThe work explores the use of Hopfield neural network for a constrained economic dispatch problem with prohibited operating zones. Yalcinoz and Short [1] discussed a special methodology to improve the performance of Hopfield networks for solving the unconstrained economic dispatch problem. In this paper the improved Hopfield network is applied to the constrained economic dispatch problem. A new mapping process has been used and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints. Applying the proposed approach is demonstrated by a 15-unit system with 4 units having prohibited zones.eninfo:eu-repo/semantics/closedAccesseconomic dispatchprohibited zonesneural networkConference Object5705732-s2.0-0034475630N/AWOS:000166106500139N/A