… This study constructs a reinforcement learning-based hybrid algorithm for Aquila Optimizer …
optimization problems are employed to test the performance of the proposed hybrid algorithm …

… (AO) in dealing with some complex optimization problems, such … paper, a hybrid Aquila
optimizer (HAO) algorithm based on Gauss … A hybrid algorithm combining GWO and Crow Search …

… optimization. Thus, a new hybrid method using Aquila optimizer (AO) and arithmetic
optimization algorithm (AOA) is proposed in this paper. AO and AOA are both modern meta-heuristic …

… , the Aquila optimizer-tangent search algorithm (AO-TSA) is proposed as a new hybrid approach
… Based on these, in this article, a new hybrid algorithm, AO-TSA, is proposed for complex …

… the AO algorithm combined with the Tabu Search (TS) procedure. The TS algorithm was
applied … Therefore, this study proposed the Hybrid Aquila Optimizer (HAO) algorithm to minimize …

… hybrid algorithm and effectively enhance the overall optimization performance of the algorithm…
This study proposed an improved hybrid Aquila Optimizer and Harris Hawks Optimization …

… Then, the preliminary hybrid algorithm is further enhanced by adding two strategies. One
is the energy parameter E , which introduce to make equilibrium for the exploitation and …

… Basically, AO was used to optimize the hyperparameters of … that optimization of
hyperparameters using AO algorithm greatly … By combining these two algorithms, the hybrid …

… and diversification of an optimization algorithm. Selections from … optimization performance
of the hybrid algorithm. This improved hybrid Aquila Optimizer and Harris Hawks Optimization …

… efficient optimization algorithm and inspired by the better performance of the Arithmetic
Optimization algorithm (AOA) and Aquila Optimizer (AO), we proposed a hybridization algorithm …