… bat inspired algorithm: Dynamic Virtual Bats Algorithm (DVBA). It is a totally new modeling
of bats … Although DVBA is a population based metaheuristic, it needs just two bats to find the …

… However, the QMBA algorithm generates all stochastic coefficients with uniform … help bats
escape from the local optimum, this article proposes a novel Gaussian quantum bat algorithm …

… By the analysis, the bat algorithm is defined by three main features they are Frequency
Tuning, Automatic Zooming and Parameter Control. The bat algorithm concentrates on the …

… for optimization. The purpose of this paper is to introduce a new nature‐inspired metaheuristic
optimization algorithm, called bat algorithm (BA), for solving engineering optimization …

… This article proposes four approaches to determine a staring arrangement for Bat algorithm
based on probability distribution to initialize its population into the multidimensional search …

… This paper presented a new metaheuristic, combining the original bat algorithm with a …
benchmark numerical optimization functions showed that the proposed HBH algorithm converges …

… , which guides the bats’ movements during their flight … of bat algorithm have been enhanced
through three different methods. To validate the performance of the Enhanced Bat Algorithm (…

… To validate the performance of the proposed directional bat algorithm, we have carried out
various numerical experiments, which can be summarized as three comparison experiments. …

… Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the
echolocation behavior of bats to perform global optimization. The superior performance of this …

… The standard bat algorithm, which is a novel metaheuristic swarm intelligence optimization
method for global numerical optimization, was proposed by Yang [23], who was inspired by …