Aiming at the existence of basic bat algorithm (BA) optimization accuracy is not high

traps into local optima easily. This paper presents a new improved bat algorithm

which is named YSBA. In this algorithm

firstly

to simplify the calculation and improve the convergence speed

a new search equation is proposed in generate new solutions. Secondly

location constrict factor is added

which can be used to control with the location of the bats

balance the global and local search of bats and improve the optimization precision of the algorithm. Finally

reset the method of the calculation of loudness and rate

which can also be used to avoid trapping into local search. To verify the performance of our algorithm

11 typical experiments are employed. The experimental results show that the new algorithm (YSBA) is significantly improved

which includes optimization accuracy

convergence speed

and they can also avoid falling into a local optimum.