Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

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

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 …

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 …

The bat algorithm (BA) is one of the metaheuristic algorithms that are used to solve
optimization problems. The differential evolution (DE) algorithm is also applied to …

Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …

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 …

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 …

As a meta-heuristic algorithm, bat algorithm (BA) is based on the characteristics of bat-based
echolocation and has been widely used in various aspects of optimization problems since it …