TY - JFULL AU - Navid Javidtash and Abdolmohamad Davodi and Mojtaba Hakimzadeh and Abdolreza Roozbeh PY - 2014/6/ TI - Genetic Algorithm for Solving Non-Convex Economic Dispatch Problem T2 - International Journal of Mathematical and Computational Sciences SP - 872 EP - 876 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9999375 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 89, 2014 N2 - Economic dispatch (ED) is considered to be one of the key functions in electric power system operation. This paper presents a new hybrid approach based genetic algorithm (GA) to economic dispatch problems. GA is most commonly used optimizing algorithm predicated on principal of natural evolution. Utilization of chaotic queue with GA generates several neighborhoods of near optimal solutions to keep solution variation. It could avoid the search process from becoming pre-mature. For the objective of chaotic queue generation, utilization of tent equation as opposed to logistic equation results in improvement of iterative speed. The results of the proposed approach were compared in terms of fuel cost, with existing differential evolution and other methods in literature. ER -