DenseNetattention mechanismsalp swarm optimization algorithmIn the field of data mining, outlier prediction detects objects that behave differently from normal objects. The conventional density and distance based outlier detection cannot identify the outliers present generally in the stream data. Transfer ...
Hence, we get the pseudo-code of the algorithm for solving a single-objective optimization problem with the salp swarm model: algorithm SSAAlgorithm(n, ub, lb): // INPUT // n = the number of salps in the population // ub = the upper bounds of the variables // lb = the lower boun...
Particle swarm optimization algorithmExploration and exploitationThe salp swarm algorithm (SSA) has shown its fast search speed in several challenging problems. Research shows that not every nature-inspired approach is suitable for all applications and functions. Additionally, it does not provide the ...
Particle swarm optimization is used in various studies to attain efficiency3. However, in this study, the PSO is combined with the Salp Swarm optimization algorithm (SSA) to enhance the application to be more efficient. Furthermore, the battery supply is connected for charging which is not ...
In order to solve the problem that the standard salp swarm algorithm has a small convergent rate and low result precision in the evolutionary process, an improved algorithm called multi-subpopulation based symbiosis and non-uniform Gaussian mutation salp
(BMFO), Binary Coyote Optimization Algorithm (BCOA), and Improved Binary Harris Hawks Optimization (IBHHO). Nevertheless, it proved to be unreliable in certain situations. Hence, the utilization of the Memetic Salp Swarm Optimization Algorithm (MSSOA) enables the accurate prediction of network ...
Thawkar S, Sharma S, Khanna M, kumar Singh L (2021) Breast cancer prediction using a hybrid method based on butterfly optimization algorithm and ant lion optimizer. Comput Biol Med 139(104):968. https://doi.org/10.1016/j.compbiomed.2021.104968 Afolayan JO, Adebiyi MO, Arowolo MO, Chakrabo...
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SSA yields local optimal solutions and has a slow convergence rate and low solution accuracy when dealing with high-dimensional global optimization problems. Based on quadratic interpolation and a local escape operator (LEO), a salp swarm optimization algorithm (QSSALEO) is proposed to address these...
This paper presents an optimization algorithm to find the best combination of the control parameters of a voltage source inverter that integrates a PV power system with an EV charging station through a common grid-connected ac-bus. The controller parameters are optimized using Salp Swarm Algorithm ...