An Improved Flow Direction Algorithm for Engineering Optimization Problems

Flow Direction Algorithm (FDA) has better searching performance than some traditional optimization algorithms. To give the basic more effective ability and avoid multiple local minima under space, enable it to obtain search results, an improved FDA based on Lévy flight strategy self-renewable method (LSRFDA) was proposed in this paper. The approach were added Algorithm. Random parameters generated by can increase algorithm’s diversity of feasible solutions a short calculation time greatly enhance operational efficiency algorithm. lets algorithm quickly possible solution jump space. Then, paper tested different mathematical testing functions, including low-dimensional high-dimensional test results compared with those This includes iterative figures, box plots, paths show performances LSRFDA. Finally, calculated engineering problems. that quicker speed