Research on Economic Load Dispatch Problem of Microgrid Based on an Improved Pelican Optimization Algorithm [PDF]
This paper presents an improved pelican optimization algorithm (IPOA) to solve the economic load dispatch problem. The vertical crossover operator in the crisscross optimization algorithm is integrated to expand the diversity of the population in the ...
Yi Zhang, Haoxue Li
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To accurately predict reservoir porosity, a method based on bi-directional long short-term memory with attention mechanism (BiLSTM-AM) optimized by the improved pelican optimization algorithm (IPOA) is proposed.
Lei Qiao +4 more
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Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm
The development of efficient energy management for nanogrid (NG) systems, while reducing both the carbon dioxide (CO2) emissions and power generation cost, is achievable through the effective utilization of available energy sources. This paper proposes a
Saif Jamal +3 more
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An improved pelican optimization algorithm for function optimization and constrained engineering design problems [PDF]
Metaheuristic algorithms are a class of optimization techniques that have revolutionized problem-solving across various domains. These algorithms provide a versatile and powerful approach to finding near-optimal solutions for complex, combinatorial,
Haval Tariq Sadeeq +5 more
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Pelican Optimization Algorithm Combining Unscented sigma Point Mutation and Cross Reversion [PDF]
Aiming at the problems of slow searching speed, low accuracy and easy to fall into local optimization in the optimization process of pelican optimization algorithm (POA), a pelican optimization algorithm combining unscented sigma point mutation and cross
ZUO Fengqin, ZHANG Damin, HE Qing, BAN Yunfei, SHEN Qianwen
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A POA-QPSO Hybrid Algorithm for Multi-Objective Optimization of Dual-Layer Walker Constellations [PDF]
The rapid development of low earth orbit (LEO) satellite constellations for navigation augmentation represents significant challenges in optimizing coverage performance while minimizing system complexity.
Yinuo Wang +3 more
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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks [PDF]
To facilitate rapid and precise predictions of pile bearing capacity, a Back Propagation (BP) neural network model has been developed utilizing data sourced from existing literature. The model incorporates several input parameters, including pile length,
Shunbo Li +5 more
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine [PDF]
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness.
Debendra Muduli +6 more
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Multi-Strategy Improved POA for Global Optimization Problems and 3D UAV Path Planning [PDF]
With the rapid development of smart manufacturing and the low-altitude economy, drone technology—as a vital component of next-generation intelligent equipment—has garnered significant attention from researchers.
Rui Zhang, Jingbo Zhan, Jianfeng Wang
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Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoost [PDF]
Scouring around bridge piers poses a critical threat to structural integrity, leading to costly damage and safety risks. Traditional equations often fail to accurately predict equilibrium scour depth (S eq ) due to the complexity and nonlinearity of the ...
Nasrin Eini +4 more
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