Swarm intelligence algorithms have been successfully applied to intractable optimization
problems. Bat algorithm is one of the latest optimization metaheuristics and research about …

Optimization is employed in solutions of many problems today. Optimization is described as
finding the most suitable alternative among many others under the given constraints. Meta …

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 …

Swarm intelligence is a very powerful technique to be used for optimization purposes. In this
paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat …

Difficulties of tackling real-world problems with their growing complexities motivated
computer scientists to search for more efficient problem solving approaches. Metaheuristic …

Swarm intelligence is an emerging research field that tries to mimic the collective intelligent
behavior found in swarms of insects and animals. Many algorithms have been proposed that …

This paper presents a novel Dynamic Virtual Bats Algorithm (DVBA) for global optimization.
This algorithm is inspired by bat's echolocation behavior, in particular, focusing on the way …

The bat algorithm is a very simple and efficient natureinspired algorithm belonging to the
swarm intelligence family. Recent studies showed its potential in solving the continuous and …

Bat algorithm is one of the younger members of swarm intelligence algorithms that was
introduced by Yang in 2010. So far, several variants based on this algorithm have been …

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 …