… , with a single optimization strategy, it shows weakness in solving various complex optimization
problems. To tackle this issue, this paper proposes a bat algorithm with multiple strategy …

… , bat algorithm with hybrid triangle-flipping strategy achieves the best performance, this
phenomenon implies that how to hybrid the different triangle-flipping strategies … hybrid strategy …

… number is generated and is compared with . If the random number is greater than , a
local search strategy… Inspired by Yang’s method, we propose the Evolved Bat Algorithm (EBA) …

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

… of the original Bat algorithm, our objective is to experiment with several learning strategies in
its … Therefore, we intend to introduce a novel Bat algorithm that can automatically adapt the …

… strategies to develop heuristic optimization algorithms. The latter are known as metaheuristics
[1]. Early metaheuristics were based on the concept of evolution, where the best solutions …

… , which guides the bats’ movements during their flight … of bat algorithm have been enhanced
through three different methods. To validate the performance of the Enhanced Bat Algorithm (…

… It adopts the Levy flight to guide the search process. Nonetheless, CSA has drawbacks, … it
with the bat algorithm (BA) to solve numerical optimization problems. The proposed algorithm, …

… The primary purpose for bat's echolocation is to serve as a hunting strategy. A … of the
basic bat algorithm with the well-known DE algorithm. Bat algorithm has been previously …

… produced a hybrid bat algorithm for numerical optimisation of function benchmarks. … strategy,
there is still room for improvement. An open question is that: what is the best control strategy …