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Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications [PDF]

open access: yesSensors, 2022
Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced ...
Pavel Trojovský, Mohammad Dehghani
doaj   +7 more sources

ACPOA: An Adaptive Cooperative Pelican Optimization Algorithm for Global Optimization and Multilevel Thresholding Image Segmentation [PDF]

open access: yesBiomimetics
Multi-threshold image segmentation plays an irreplaceable role in extracting discriminative structural information from complex images. It is one of the core technologies for achieving accurate target detection and regional analysis, and its segmentation
YuLong Zhang   +3 more
doaj   +6 more sources

Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification [PDF]

open access: yesScientific Reports
This paper proposes an improved Pelican optimization algorithm (IPOA) based on comprehansive strategy for the parameter identification of photovoltaic models.
Xu Yong, Sang Bicong, Zhang Yi
doaj   +3 more sources

Capacity Optimization of Independent Microgrid with Electric Vehicles Based on Improved Pelican Optimization Algorithm

open access: yesEnergies, 2023
In order to reduce the comprehensive power cost of the independent microgrid and to improve environmental protection and power supply reliability, a two-layer power capacity optimization model of a microgrid with electric vehicles (EVs) was established ...
Jiyong Li   +4 more
doaj   +4 more sources

Multi-Strategy Improved Pelican Optimization Algorithm for Engineering Optimization Problems and 3D UAV Path Planning [PDF]

open access: yesBiomimetics
To address the path-planning challenge for unmanned aerial vehicles (UAVs) in complex environments, this study presents an improved pelican optimization algorithm enhanced with multiple strategies (MIPOA).
Ming Zhang, Maomao Luo, Huiming Kang
doaj   +5 more sources

Research on Economic Load Dispatch Problem of Microgrid Based on an Improved Pelican Optimization Algorithm [PDF]

open access: yesBiomimetics
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
doaj   +4 more sources

Reservoir Porosity Prediction Based on BiLSTM-AM Optimized by Improved Pelican Optimization Algorithm

open access: yesEnergies
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
doaj   +4 more sources

A Wind Turbine Fault Classification Model Using Broad Learning System Optimized by Improved Pelican Optimization Algorithm

open access: yesMachines, 2022
As a classification model, a broad learning system is widely used in wind turbine fault diagnosis. However, the setting of hyperparameters for the models directly affects the classification accuracy of the models and it generally relies on practical ...
Wumaier Tuerxun   +4 more
doaj   +3 more sources

Pattern synthesis of linear array antennas based on Chaos Triangular Pelican Optimization Algorithm [PDF]

open access: yesScientific Reports
In wireless communication systems, array antennas with high gain and low sidelobe performance can enhance the system’s signal processing and anti-interference capabilities, using intelligent optimization algorithm to optimize the performance of array ...
Anyong Liu   +4 more
doaj   +2 more sources

A New Pelican Optimization Algorithm for the Parameter Identification of Memristive Chaotic System

open access: yesSymmetry, 2023
A memristor is a kind of nonlinear electronic component. Parameter identification for memristive chaotic systems is a multi-dimensional variable optimization problem. It is one of the key issues in chaotic control and synchronization. To identify the unknown parameters accurately and quickly, we introduce, in this paper, a modified Pelican Optimization
Qi Xiong, Xiong Qi
exaly   +2 more sources

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