%0 Journal Article %A Navid Javidtash and Abdolmohamad Davodi and Mojtaba Hakimzadeh and Abdolreza Roozbeh %D 2014 %J International Journal of Mathematical and Computational Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 89, 2014 %T Genetic Algorithm for Solving Non-Convex Economic Dispatch Problem %U https://publications.waset.org/pdf/9999375 %V 89 %X 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. %P 873 - 876