鱼鹰优化算法(Osprey optimization algorithm,OOA)由Mohammad Dehghani 和 Pavel Trojovský于2023年提出,其模拟鱼鹰的捕食行为。鱼鹰优化算法详细信息:鱼鹰优化算法(Osprey optimization algorithm,OOA) 三、鱼鹰优化算法求解背包问题 部分Matlab代码: close all cl
In this study, an optimization method is developed using the Osprey optimization algorithm (OOA) to determine the best possible solution for the complex DG placement problem. The proposed OOA method optimizes the appropriate size and location for a Type I and III DG to reduce the RDS's real ...
[lowerbound,upperbound,dimension,fitness]=fun_info(Fun_name); % Object function information [Best_score,Best_pos,OOA_curve]=OOA(SearchAgents,Max_iterations,lowerbound,upperbound,dimension,fitness); % Calculating the solution of the given problem using OOA %% display(['The best optimal value of ...
The HPFOO is a combination of the Pufferfish Optimization Algorithm (POA) and Osprey Optimization Algorithm (OOA) with the goal of reducing both transmission and computing delay. The performance investigation of the NOMA-MIMO-based MEC device is carried out by comparing its overall latency and ...
The present work proposes a novel hybrid meta-heuristic algorithm called Osprey-PSO, which combines Osprey Optimization Algorithm (OOA) with Particle Swarm Optimization (PSO) algorithm. The OOA introduces an innovative meta-heuristic algorithm inspired by nature, specifically drawing from the hunting ...
As its name suggests, ECOA hybridizes two new metaheuristics, the coati optimization algorithm (COA) and the osprey optimization algorithm (OOA). ECOA is constructed by five searches performed sequentially by the swarm members. The first three are directed searches, while the last two are ...
OOA is the primary algorithm of the suggested approach, which is coupled with the Levy flight optimization technique. We refer to this method as MOOA. The suggested approach is used for droop control's Proportional-Integral (PI) secondary control optimization. This article com...
For a better estimation of PM2.5 values, the hyperparameters of the Bi-LSTM model used are tuned using the Osprey Optimization Algorithm (OOA), a recent meta-heuristic algorithm. The model that works with the optimal values of hyperparameters identified by OOA performed...
The hyperparameter present in the BiLSTM classifier is tuned using the osprey optimization algorithm (OOA). The valuation outcomes show that the suggested approach achieves 93.1% of accuracy, 85.9% of precision, and 95.9% of specificity rate for the data. In comparison to other current ...
Enhancement of security, personalization, and safety in advanced transportation systems depends on driver identification. In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature selection and...