The nature has become a main inspiration source of scientists for developing new intelligent
systems and techniques. Nature-inspired meta-heuristics is a kind of algorithms that imitate …

Structured population in evolutionary algorithms is a vital strategy to control diversity during
the search. One of the most popular structured population strategies is the island model in …

This paper proposed an improved bat algorithm based on Lévy flights and adjustment
factors (LAFBA). Dynamically decreasing inertia weight is added to the velocity update …

In this paper, a chaos-enhanced bat algorithm is proposed to tackle the global optimization
problems. Bat algorithm is a relatively new stochastic optimizer inspired by the echolocation …

As a new kind of swarm intelligence algorithms, bat algorithm is inspired by the bat's
echolocation model to search an optimization solution. In this paper, we propose a novel bat …

Abstract The Bat Algorithm (BA), which is a global optimization method, performs poorly on
complex continuous optimization problems due to BA's disadvantages such as the …

Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

A novel robust hybrid metaheuristic optimization approach, which can be considered as an
improvement of the recently developed bat algorithm, is proposed to solve global numerical …

Artificial neural network (ANN) contributes significant advantages in medical research. In the
field of medical imaging and health care application, ANN performs the significant role by …

Bat swarm optimisation (BSO) is a novel heuristic optimisation algorithm that is being used
for solving different global optimisation problems. The paramount problem in BSO is that it …