Wind Algorithm Optimization A New Novel Technique For Global Optimization Problems

In the past few decades a lot of work has been done in the field of Optimization. Different kinds of algorithm have been proposed. Many of these methods are inspired by the natural phenomenon. In the dissertation, a new algorithm inspired by the environmental phenomena is introduced, which is called wind algorithm for optimization (WAO). This algorithm is based on the natural wind flow phenomenon from high to low pressure area, different gas molecules and lots of dust particle travel with in it. The proposed method involves simple techniques and equations to guide the particle to find the optimal solution. A set of benchmark functions is used to demonstrate the performance of the propose method and compare with well-known methods. The experiments show that WAO have tremendous capability to explore the search space to find the global optimization. The results obtained demonstrate the high performance of WAO in solving different kind of functions.