A Coordinated Strategy of Flexible Dispatch and Fault Repair for Active Distribution Networks Towards Resilience Enhancement [PDF]
[Objective] To address the rapid recovery and resilience demands of MV/LV distribution networks in extreme disaster environments, a coordinated strategy integrating the flexible dispatch of active distribution networks and fault repair is proposed ...
LIU Wenze, CHEN Keyao, CHENG Runting, YI Yingqi, LU Hongxin, ZHANG Yongjun
doaj +1 more source
New Harris Hawks algorithms for the Close-Enough Traveling Salesman Problem
This study introduces a novel application of the Harris Hawks Optimization (HHO) algorithm to the Close-Enough Traveling Salesman Problem (CETSP), a challenging combinatorial optimization problem where circular neighborhoods rather than exact coordinates represent target points.
Tansel Dökeroglu, Deniz Canturk
openaire +2 more sources
Underwater localization is considered a critical technique in the Internet of Underwater Things (IoUTs). However, acquiring accurate location information is challenging due to the heterogeneous underwater environment and the hostile propagation of ...
Xiaojun Mei +9 more
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Fault diagnosis of high-voltage pulse track circuit 2 based on IHHO-KELM
Aiming at the problem of low fault diagnosis accuracy of high-voltage pulse track circuit, a track circuit fault diagnosis method based on kernel extreme learning machine (KELM) optimized by improved Harris hawks optimization (IHHO) is proposed. Firstly,
Yunshui Zheng, Yuefan Zhang
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Multi-objective Harris Hawk Algorithms for the Diagnosis of Parkinson's Disease
Abstract This study proposes new binary Harris Hawk Optimization algorithms for diagnosing Parkinson's disease. New exploration and exploitation operators are developed, and a K-Nearest Neighbour classifier that adapts to the given dataset is employed.
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Optimal control of DC motor using leader-based Harris Hawks optimization algorithm
Direct Current (DC) motor is considered a very critical component of various industrial drive equipment. This is due to their unique advantages including reasonable cost, speed-torque characteristics, ease of control, etc.
Shehu Lukman Ayinla +6 more
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Accurate carbon price prediction can help save energy and reduce emissions worldwide. Thus, this paper proposes a model that combines swarm intelligence algorithms with deep learning to predict carbon prices.
Guangyu Mu +4 more
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A prediction model for microseismic signals based on kernel extreme learning machine optimized by Harris Hawks algorithm. [PDF]
Zhu W +5 more
europepmc +1 more source
Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm. [PDF]
Elwahsh H +7 more
europepmc +1 more source
Text encryption using Sosemanuk and Harris Hawks optimization by laser communication. [PDF]
Mahdi MS +6 more
europepmc +1 more source

