Applied Soft Computing, Journal Year: 2023, Volume and Issue: 147, P. 110827 - 110827
Published: Sept. 9, 2023
Language: Английский
IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: 18(14), P. 2209 - 2237
Published: Feb. 24, 2024
Abstract In the pursuit of enhancing efficiency solar cells, accurate estimation unspecified parameters in photovoltaic (PV) cell model is imperative. An advanced salp swarm algorithm called Super‐Evolutionary Nelder‐Mead Salp Swarm Algorithm (SENMSSA) proposed to achieve this objective. The SENMSSA addresses limitations SSA by incorporating a super‐evolutionary mechanism based on Gaussian‐Cauchy mutation and vertical horizontal crossover mechanism. This enhances both global optimization capabilities local search performance convergence speed algorithm. It enables secondary refinement optimum, unlocking untapped potential solution space near optimum elevating algorithm's precision exploitation higher levels. simplex method further introduced enhance accuracy. versatile that improves iteratively adjusting geometric shape (simplex) points. operates without needing derivatives, making it suitable for non‐smooth or complex objective functions. To assess efficacy SENMSSA, comparative analysis conducted against other available algorithms, namely SSA, IWOA, SCADE, LWOA, CBA, RCBA, using CEC2014 benchmark function set. Subsequently, was employed determine unknown PV under fixed conditions three different diode models. Additionally, utilized estimate commercially models (ST40, SM55, KC200GT) varying conditions. experimental results indicate study displays remarkably competitive all test cases compared algorithms. As such, we consider constitutes reliable efficient challenge parameter estimation.
Language: Английский
Citations
11
Mathematics, Journal Year: 2022, Volume and Issue: 10(7), P. 1129 - 1129
Published: April 1, 2022
Recently, new variants of non-systematic satisfiability logic were proposed to govern Discrete Hopfield Neural Network. This variant logical rule will provide flexibility and enhance the diversity neuron states in However, there is no systematic method control optimize structure satisfiability. Additionally, role negative literals was neglected, reducing expressivity information that holds. study an additional optimization layer Network called phase controls distribution structure. Hence, a named Weighted Random 2 Satisfiability formulated. Thus, searching technique binary Artificial Bee Colony algorithm ensure correct literals. It worth mentioning has flexible less free parameters where modifications tackled on objective function. Specifically, this utilizes by modifying updating equation using not (NAND) gate operator. The performance be compared with other algorithms different operators conventional such as Particle Swarm Optimization, Exhaustive Search, Genetic Algorithm. experimental results comparison show compatible finding according initiate ratio literal.
Language: Английский
Citations
38
Mathematics, Journal Year: 2022, Volume and Issue: 10(9), P. 1567 - 1567
Published: May 6, 2022
Arithmetic Optimization Algorithm (AOA) is a physically inspired optimization algorithm that mimics arithmetic operators in mathematical calculation. Although the AOA has an acceptable exploration and exploitation ability, it also some shortcomings such as low population diversity, premature convergence, easy stagnation into local optimal solutions. The Golden Sine (Gold-SA) strong searchability fewer coefficients. To alleviate above issues improve performance of AOA, this paper, we present hybrid with Gold-SA called HAGSA for solving industrial engineering design problems. We divide whole two subgroups optimize them using during searching process. By dividing these subgroups, can exchange share profitable information utilize their advantages to find satisfactory global solution. Furthermore, used Levy flight proposed new strategy Brownian mutation enhance algorithm. evaluate efficiency work, HAGSA, selected CEC 2014 competition test suite benchmark function compared against other well-known algorithms. Moreover, five problems were introduced verify ability algorithms solve real-world experimental results demonstrate work significantly better than original Gold-SA, terms accuracy convergence speed.
Language: Английский
Citations
32
Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 149, P. 105981 - 105981
Published: Aug. 20, 2022
Language: Английский
Citations
32
Applied Sciences, Journal Year: 2022, Volume and Issue: 12(22), P. 11514 - 11514
Published: Nov. 13, 2022
In view of the slow convergence speed traditional particle swarm optimization algorithms, which makes it easy to fall into local optimum, this paper proposes an OTSU multi-threshold image segmentation based on improved algorithm. After completes iterative update and position, method calculating contribution degree is used obtain approximate position direction, reduces scope search. At same time, asynchronous monotone increasing social learning factor decreasing individual are balance global Finally, chaos introduced increase diversity population achieve (IPSO). Twelve benchmark functions selected test performance algorithm compared with meta-heuristic The results show robustness superiority standard dataset images for experiments, some algorithms compare calculation efficiency, peak signal noise ratio (PSNR), structural similarity (SSIM), feature (FSIM), fitness value (FITNESS). that running time 30% faster than other in general, accuracy also better algorithms. Experiments proposed can higher efficiency.
Language: Английский
Citations
32
Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 151, P. 106241 - 106241
Published: Oct. 27, 2022
Various structures in human physiology follow a treelike morphology, which often expresses complexity at very fine scales. Examples of such are intrathoracic airways, retinal blood vessels, and hepatic vessels. Large collections 2D 3D images have been made available by medical imaging modalities as magnetic resonance (MRI), computed tomography (CT), Optical coherence (OCT) ultrasound the spatial arrangement can be observed. Segmentation these is great importance since analysis structure provides insights into disease diagnosis, treatment planning, prognosis. Manually labelling extensive data radiologists time-consuming error-prone. As result, automated or semi-automated computational models become popular research field past two decades, many developed to date. In this survey, we aim provide comprehensive review currently publicly datasets, segmentation algorithms, evaluation metrics. addition, current challenges future directions discussed.
Language: Английский
Citations
31
Journal of Bionic Engineering, Journal Year: 2022, Volume and Issue: 19(6), P. 1830 - 1849
Published: July 14, 2022
Language: Английский
Citations
29
Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(9), P. 9051 - 9087
Published: Jan. 20, 2023
Language: Английский
Citations
20
Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 419, P. 116664 - 116664
Published: Dec. 7, 2023
Language: Английский
Citations
20
Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 412, P. 116062 - 116062
Published: May 4, 2023
Language: Английский
Citations
18