Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications [PDF]
Sensors, 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
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Research on Economic Load Dispatch Problem of Microgrid Based on an Improved Pelican Optimization Algorithm [PDF]
BiomimeticsThis 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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Energies, 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
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ACPOA: An Adaptive Cooperative Pelican Optimization Algorithm for Global Optimization and Multilevel Thresholding Image Segmentation [PDF]
BiomimeticsMulti-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
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A New Pelican Optimization Algorithm for the Parameter Identification of Memristive Chaotic System
Symmetry, 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
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Machines, 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
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Sigmoid-Function-Based Adaptive Pelican Optimization Algorithm for Global Optimization [PDF]
International Journal of Electrical Engineering and Applied SciencesThis paper introduces the Sigmoid-function-based Adaptive Pelican Optimization Algorithm (MPOA), an enhanced version of the traditional Pelican Optimization Algorithm (POA) aimed at improving the POA's performance.
A. F. S. Yussif +2 more
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Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification [PDF]
Scientific ReportsThis 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
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An innovative coverage optimization method for smart information monitoring in agricultural IoT using the multi-strategy Pelican optimization algorithm [PDF]
Scientific ReportsWith the rapid advancement of agricultural technology, Agricultural Wireless Sensor Network (AWSN) monitoring for crop growth in large-scale fields has become pivotal in smart agriculture.
Wei Chen, Qike Cao, Bingyu Cao, Bo Jin
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Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment
Applied Artificial IntelligenceTo overcome the issues of simple strategy and easy fall into local optimum when solving UAV 3D path planning problem, we propose an improved Levy Pelican Optimization Algorithm (LPOA) that incorporates the hunter-prey algorithm and solves the UAV 3D path
Guiliang Zhou +5 more
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