Improving Convergence Speed of Bat Algorithm Using Multiple Pulse Emissions along Multiple Directions

Metaheuristic algorithms are effectively used in searching some optical solution space. for optical solution. It is basically the type of local search generalization that can provide useful solutions for issues related to optimization. Several benefits are associated with this type of algorithms due to that such algorithms can be better to solve many issues in an effective way. To provide fast and accurate solutions to huge range of complex issues is one main benefit metaheuristic algorithms. Some metaheuristic algorithms are effectively used to classify the problems and BAT Algorithm (BA) is one of them is more popular in use to sort out issues related to optimization of theoretical and realistic. Sometimes BA fails to find global optima and gets stuck in local optima because of the absence of investigation and manipulation. We have improved the BA to boost its local searching ability and diminish the premature problem. An improved equation of search with more necessary information through the search is set for the generation of the solution. Test set of benchmark functions are utilized to verify the proposed method's performance. The results of simulation showed that proposed methods are best optimal solution as compare to others.

Automated summary

Metaheuristic algorithms, such as the BAT Algorithm, are effectively used in solving optimization problems, including those in the field of optics. However, the original BAT Algorithm may fail to find the global optimum and get stuck in local optima. In this study, the BAT Algorithm is improved by enhancing its local search capability and optimizing the search equation, resulting in better optimal solutions.