The bat algorithm (BA) is a novel evolutionary optimization algorithm, most studies of which
have been performed with low-dimensional problems. To test and improve the global search …

By simulating the echolocation behavior of bats in nature, bat algorithm (BA) is proposed for
global optimization that is a recently developed nature-inspired algorithm. Since then, it has …

Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …

Bat algorithm (BA) is a heuristic optimization algorithm based on swarm intelligence and the
inspiration from the nature behavior of bats. It has some advantages including fast solving …

Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …

The bat algorithm (BA) is a nature-inspired algo-rithm, which has recently been applied in
many applications. BA can deal with both continuous optimization and discrete optimization …

Nature‐inspired algorithms attract many researchers worldwide for solving the hardest
optimization problems. One of the newest members of this extensive family is the bat …

Bat algorithm (BA) is a recent optimization algorithm based on swarm intelligence and
inspiration from the echolocation behavior of bats. One of the issues in the standard bat …

The bat algorithm (BA), a metaheuristic algorithm developed by Xin-She Yang in 2010, has
since been modified, and applied to numerous practical optimization problems in …

Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …