Journal ArticleDOI
Optimal parameter identification of PEMFC stacks using Adaptive Sparrow Search Algorithm
Yanlong Zhu,Nasser Yousefi +1 more
TLDR
The proposed ASSA is utilized for minimizing the sum of squared error (SSE) between the empirical stack voltage and the calculated stack voltage by optimal selection of the mentioned parameters in the PEMFC stack.About:
This article is published in International Journal of Hydrogen Energy.The article was published on 2021-02-24. It has received 115 citations till now. The article focuses on the topics: Search algorithm.read more
Citations
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Journal ArticleDOI
A Modified Sparrow Search Algorithm with Application in 3d Route Planning for UAV.
TL;DR: In this paper, a modified sparrow search algorithm named CASSA has been presented to deal with the problem of UAV route planning in complex three-dimensional (3D) flight environment.
Journal ArticleDOI
Fault Diagnosis of Wind Turbines Based on a Support Vector Machine Optimized by the Sparrow Search Algorithm
TL;DR: In this paper, the sparrow search algorithm (SSA) is used to optimize the penalty factor and kernel function parameter of SVM and to construct the SSA-SVM wind turbine fault diagnosis model.
Journal ArticleDOI
Advances in Sparrow Search Algorithm: A Comprehensive Survey
TL;DR: In this paper , the authors reviewed the sparrow search algorithm (SSA), one of the new and robust algorithms for solving optimization problems, and covered all the SSA literature on variants, improvement, hybridization, and optimization.
Journal ArticleDOI
Optimal parameter estimation strategy of PEM fuel cell using gradient-based optimizer
Hegazy Rezk,Hegazy Rezk,Seydali Ferahtia,Ali Djeroui,Aissa Chouder,Azeddine Houari,Mohamed Machmoum,Mohammad Ali Abdelkareem,Mohammad Ali Abdelkareem +8 more
TL;DR: In this paper, a robust methodology based on the Gradient-based Optimizer (GBO) was proposed to identify the best parameters of PEM fuel cell (PEMFC).
Journal ArticleDOI
A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms
TL;DR: In this paper, an energy theory method was proposed to solve the problem of modal overdecomposition, which can not only improve the safety of the system, but also optimize dispatch and reduce economic losses.
References
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Journal ArticleDOI
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
TL;DR: This paper proposes a novel nature-inspired algorithm called Multi-Verse Optimizer, based on three concepts in cosmology: white hole, black hole, and wormhole, which outperforms the best algorithms in the literature on the majority of the test beds.
Journal ArticleDOI
A novel swarm intelligence optimization approach: sparrow search algorithm
TL;DR: A novel swarm optimization approach, namely sparrow search algorithm (SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of sparrows, which shows that the proposed SSA is superior over GWO, PSO and GSA in terms of accuracy, convergence speed, stability and robustness.
Journal ArticleDOI
Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications
Gaurav Dhiman,Vijay Kumar +1 more
TL;DR: The main concept behind this algorithm is the social relationship between spotted hyenas and their collaborative behavior and it is revealed that the proposed algorithm performs better than the other competitive metaheuristic algorithms.
Journal ArticleDOI
Emperor penguin optimizer: A bio-inspired algorithm for engineering problems
Gaurav Dhiman,Vijay Kumar +1 more
TL;DR: A novel optimization algorithm, called Emperor Penguin Optimizer (EPO), which mimics the huddling behavior of emperor penguins, which is compared with eight state-of-the-art optimization algorithms.
Journal ArticleDOI
Electricity load forecasting by an improved forecast engine for building level consumers
TL;DR: A new prediction model for small scale load prediction i.e., buildings or sites is outlined, based on improved version of empirical mode decomposition (EMD) which is called sliding window EMD (SWEMD), a new feature selection algorithm and hybrid forecast engine.