In this paper, a novel swarm-based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative foraging behavior of tu...
The tuna swarm optimization algorithm is an effective metaheuristic algorithm with fast convergence and high solution accuracy on single objective problems. Based on the above motivation, this paper adopts a combined rescheduling strategy based on the improved TSO algorithm to solve the DFJSP. This ...
3D Image Encryption Algorithm Based on Quantum Random Walk and Multidimensional Chaos Liu han-yang, Hua nan, Wang yi-nuo, Liang jun-qing, Ma hong-yang 2022 Implementation of a clinical pharmacist-driven comprehens...
The higher efficiency of the Global Maximum Power Point(GMPP) tracking technique becomes a must to the Photovoltaic(PV) system, therefore, an algorithm based on Tuna Swarm Optimization (TSO) is proposed in this study. Then, it is applied to track the global MPPT of PV system under partial ...
This study introduces a hybrid optimization algorithm for energy scheduling in smart homes called Quadratic Interpolation Tuna Swarm Optimization (QITSO). This algorithm aims to improve solution precision by enhancing solution diversity through the optimization process, effectively balancing theexploration and...
The Tuna Swarm Optimization Algorithm (TSOA) enhances the weight parameters of MHNN. The efficacy of the IOT-DTI-MHNN-TSOA classification framework is assessed using performance metrics, like precision, accuracy, F1-score, sensitivity, specificity, error rate, computational time, ROC, Computational ...
In this study, the tuna swarm optimization algorithm (TSO) is utilized as a novel meta-heuristic technique to optimize electrical networks to incorporate FACTS devices and stochastic wind energy production. To account for wind power, a model based on the Weibull probability density function is ...
Tuna swarm optimization algorithmThe feature selection (FS) technique is a powerful knowledge discovery tool for understanding complex problems by identifying the most relevant features. With the rapid development of high-throughput technologies, high-dimensional, multi-text and multi-classification data ...
The traditional Tuna swarm optimization is improved relying on "high and low-velocity ratios" included in the Marine Predator Algorithm. The main advantage of this approach is to avoid the risk of the optimal value being trapped in local minima. The IEEE 30-bus standard system is used as a ...
Tuna swarm optimization algorithm (TSO) is an innovative swarm intelligence algorithm that possesses the advantages of having a small number of adjustable parameters and being straightforward to implement, but the TSO exhibits drawbacks including low computational accuracy and susceptibility to local optima...