A well-known metaheuristic is the bat algorithm (BA), which consists of an iterative learning
process inspired by bats echolocation behaviour in searching for prays. Basically, the BA …

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 …

Bat algorithm (BA) is a novel population-based evolutionary algorithm inspired by
echolocation behavior. Due to its simple concept, BA has been widely applied to various …

Bat algorithm (BA) is newly proposed bio-inspired metaheuristic algorithm with the
inspiration of the echolocation of bats in nature. Several experimental results have proven to …

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

Metaheuristics can be used to solve optimization complex problems because they offer
approximate and acceptable solutions. In recent years, nature has been a source of …

Bat Algorithm (BA), is a relatively new nature inspired metaheuristic algorithm, which works
on the echolocation capabilities of micro-bats. Although being highly efficient, it suffers from …

Bat algorithm (BA) is a nature-inspired metaheuristic algorithm which is widely used to solve
the real world global optimization problem. BA is a population-based intelligent stochastic …

In this paper, alternative selection mechanisms in the bat-inspired algorithm for global
optimization problems are studied. The bat-inspired algorithm is a recent swarm-based …