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 bio-inspired algorithm developed by Xin-She Yang in 2010 and BA
has been found to be very efficient. As a result, the literature has expanded significantly in …

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

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 …

In recent years, the Bat Algorithm (BA) is becoming a standard optimization tool used by
scientists and engineers to solve many problems in different engineering fields. One of the …

Optimization can be defined as an effort of generating solutions to a problem under bounded
circumstances. Optimization methods have arisen from a desire to utilize existing resources …

The bat algorithm (BA) is a population-based algorithm and it typically has good
convergence for solving many optimization problems. This chapter first introduces the …

Bat algorithm (BA), inspired by the foraging behavior of microbats, has become a powerful
swarm intelligence method for solving optimization problems over continuous and discrete …

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 …