Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …

To improve the optimization efficiency for different optimization problems and take
advantage of the dynamic membrane computing framework, this paper proposes an …

In recent years, increased attention has been paid by the researchers to predict accurate
and stable load due to its effect on the economy and need for proper management of power …

The bat algorithm (BA) is one of prominent swarm-based algorithm that has the suitability in
solving only small dimension engineering problems and suffers from drawback of getting …

This paper proposed an improved bat algorithm based on Lévy flights and adjustment
factors (LAFBA). Dynamically decreasing inertia weight is added to the velocity update …

The basic bat algorithm (BA) is a swarm intelligent algorithm, which simulates the
echolocation behavior of micro bats. Although BA is easy to implement and efficient in …

The bat algorithm (BA) has been shown to be effective to solve a wider range of optimization
problems. However, there is not much theoretical analysis concerning its convergence and …

The bat algorithm (BA) is a new search optimization algorithm, inspired by bats' echolocation
behavior. However, it is prone to fall into local optima and has low solution accuracy. This …

Bat algorithm (BA) is a powerful nature-inspired swarm algorithm which finds applicability to
a diverse range of problem domains. Though it is efficient, it suffers from two handicaps …