A new Optimization algorithm based on the behavior of BrunsVigia flower

The most challenging problem of these days is dealing with the high dimensionality and any progress in this area is very welcomed. This paper is an attempt to propose a new optimization algorithm that performs well in problems with high dimensions. As the result, a new optimization algorithm based on the behavior of a special flower named as Brunsvigia is proposed. The distinguishing property of this algorithm is its simplicity as well as efficiency in angular movement. The special seeding behavior of this flower has been simulated to propose a search algorithm named as Brunsvigia Optimization Algorithm (BVOA) which has two major phases as information sharing through pollination and solution movement based on the head tumbling behavior of the flower in nature. The performance of the proposed algorithm is evaluated on some test functions used in CEC2005 and the results are compared with four other optimization algorithms. The results show that the proposed algorithm has a better performance in high dimensions.