A novel Invasive Weed Optimization with levy flight for optimization problems: The case of forecasting energy demand

Energy is very important nowadays and it has become essential for human life. More amount of energy necessary a community with increased living standards population. This causes an increase in consumption. one the most significant problems across world today; therefore, should be generated at best level. Excessive generation makes countries lose money while less crises. Therefore, need to adjust their demand optimally. It possible estimate demands by using various applications. study proposes new improved algorithm linear regression models forecast Turkey. The selected Invasive Weed Optimization (IWO) which been developed levy flight called LF-IWO. In model, input parameters included data regarding Turkey’s gross domestic product (GDP), population, import export. was estimated these between 1979 2011. estimation results obtained from model were compared those similar studies literature measure performance success algorithm.