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 …

Inspired by Bat Algorithm, a novel algorithm, which is called Evolved Bat Algorithm (EBA), for
solving the numerical optimization problem is proposed based on the framework of the …

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 …

Bat Algorithm (BA) is a swarm intelligence algorithm which has been intensively applied to
solve academic and real life optimization problems. However, due to the lack of good …

The area of metaheuristic optimization algorithms has been attracting researchers for many
years. These algorithms have built in capability to explore a large region of the solution …

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 …

Bat algorithm (BA) turns into the most generally utilized meta-heuristic algorithm to solve the
different sort of global optimization problems. In the optimization of continuous data, BA …

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 …

Bat algorithm is a swarm intelligent algorithm inspired by the echolocation behaviour of bats.
Recently, there are many research works focus on this algorithm, however, most of them are …

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 …