Výsledky vyhľadávania - "Meta-Heuristic optimization algorithms"

Advances in Sine Cosine Algorithm: A comprehensive survey Autor Abualigah, Laith, Diabat, Ali

“…The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine…”
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An enhanced Archimedes optimization algorithm based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification Autor Houssein, Essam H., Helmy, Bahaa El-din, Rezk, Hegazy, Nassef, Ahmed M.

“…Meta-heuristic optimization algorithms aim to tackle real world problems through maximizing some specific criteria such as performance, profit, and quality or…”
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Salp swarm algorithm: a comprehensive survey Autor Abualigah, Laith, Shehab, Mohammad, Alshinwan, Mohammad, Alabool, Hamzeh

“…This paper completely introduces an exhaustive and a comprehensive review of the so-called salp swarm algorithm (SSA) and discussions its main characteristics…”
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A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications Autor Abualigah, Laith, Diabat, Ali

“…The grasshopper optimization algorithm is one of the dominant modern meta-heuristic optimization algorithms. It has been successfully applied to various…”
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Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications Autor Abualigah, Laith, Shehab, Mohammad, Alshinwan, Mohammad, Mirjalili, Seyedali, Elaziz, Mohamed Abd

“…This paper introduces a comprehensive overview of the Ant Lion Optimizer (ALO). ALO is a novel metaheuristic swarm-based approach introduced by Mirjalili in…”
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Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications Autor Abualigah, Laith

“…This review paper presents a comprehensive and full review of the so-called optimization algorithm, multi-verse optimizer algorithm (MOA), and reviews its main…”
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Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results Autor Abualigah, Laith, Elaziz, Mohamed Abd, Khasawneh, Ahmad M., Alshinwan, Mohammad, Ibrahim, Rehab Ali, Al-qaness, Mohammed A. A., Mirjalili, Seyedali, Sumari, Putra, Gandomi, Amir H.

“…Real-world engineering design problems are widespread in various research disciplines in both industry and industry. Many optimization algorithms have been…”
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Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications Autor Devikanniga, D., Vetrivel, K., Badrinath, N.

“…There are several meta-heuristic optimization algorithms developed on inspiration from nature. Artificial neural network proves to be efficient among other…”
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On the optimal synthesis of sparsely thinned planar array antenna with constraints using meta‐heuristic optimization Autor Dutta, Kailash P., Mahanti, Gautam K.

“…Summary The investigations related to the planar antenna array have attracted much attention due to their vast applications in the areas of advanced wireless…”
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Optimal coordination of DOCRs in microgrid via contingency reduction mechanism and clustering algorithms considering various network topologies based on N-2 contingencies Autor Karimkhan Zand, Hossein, Mazlumi, Kazem, Bagheri, Amir, Abdali, Ali

“…Sensitive loads in microgrids should have high uninterruptible power supply reliability. To reach this goal, the precise setting of directional overcurrent…”
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Electrocardiogram signal compression using tunable-Q wavelet transform and meta-heuristic optimization techniques Autor Pal, Hardev Singh, Kumar, A., Vishwakarma, Amit, Ahirwal, Mitul Kumar

“…Electrocardiogram (ECG) signals are the biomedical signals commonly used in the prognosis of cardiovascular diseases. ECG recordings need to be stored and…”
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A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications Autor Abualigah, Laith, Diabat, Ali, Geem, Zong Woo

“…The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which has been successfully applied to a broad range of clustering…”
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A novel fuzzy clustering based method for image segmentation in RGB-D images Autor Yadav, Nand Kishor, Saraswat, Mukesh

“…Automatic image segmentation is a challenging task in computer vision applications, especially in the presence of occluded objects, varying color, and…”
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Advanced Machine Learning and Gene Expression Programming Techniques for Predicting CO2-Induced Alterations in Coal Strength Autor Liu, Zijian, Shi, Yong, Li, Chuanqi, Zhang, Xiliang, Zhou, Jian, Khandelwal, Manoj

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A Novel Hybrid Ensemble Wind Speed Forecasting Model Employing Wavelet Transform and Deep Learning Autor V, Vishnu Namboodiri, Goyal, Rahul

“…•A novel hybrid ensemble framework with wavelet transform and deep learning is proposed, and results are established.•The performance of CNN-BiLSTM with a…”
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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms Autor Gürgen, Samet

“…Determining the optimum design of shell and tube heat exchangers (STHE) is a crucial issue for the efficient use of scarce energy resources. In particular,…”
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Revolutionizing Bitcoin price forecasts: A comparative study of advanced hybrid deep learning architectures Autor He, Xiangyi, Li, Yiwei, Li, Houjian

“…•Hybrid deep learning model outperforms basic LSTM in Bitcoin forecasting.•NRBO-CNN-BiLSTM-Attention model cuts MAPE by over 50 %.•Significant accuracy in…”
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Optimization models to save energy and enlarge the operational life of water pumping systems Autor Torregrossa, Dario, Capitanescu, Florin

“…Water pumping systems are widely used in industrial and civil applications. During their operational life, they consume energy and materials (mainly for…”
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Dragonfly algorithm: a comprehensive survey of its results, variants, and applications Autor Alshinwan, Mohammad, Abualigah, Laith, Shehab, Mohammad, Elaziz, Mohamed Abd, Khasawneh, Ahmad M., Alabool, Hamzeh, Hamad, Husam Al

“…This paper thoroughly introduces a comprehensive review of the so-called Dragonfly algorithm (DA) and highlights its main characteristics. DA is considered one…”
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A hybrid optimized model for predicting evapotranspiration in early and late rice based on a categorical regression tree combination of key influencing factors Autor Zhao, Long, Qing, Shunhao, Bai, Jiayi, Hao, Haohao, Li, Hui, Shi, Yi, Xing, Xuguang, Yang, Ru

“…•The ETC model based on key factors is proposed for early and late rice.•Rn shows the highest correlation with early and late rice evapotranspiration.•The…”
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