Results 11 to 20 of about 2,297,634 (166)
K-means Hybrid Iterative Clustering Based on Memory Transfer Sailfish Optimization
Aimed at the problem that the existing K-means clustering (KMC) algorithm is greatly affected by initialization, and the randomly generated clustering center can easily make the clustering result fall into local optimum and stop iterating, resulting in ...
HUANG He, XIONG Wu, WU Kun, WANG Huifeng, RU Feng, WANG Jun
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Optimal Control Virtual Inertia of Optical Storage Microgrid Based on Improved Sailfish Algorithm
The optical storage microgrid system composed of power electronic converters is a small inertia system. Load switching and power supply intermittent will affect the stability of the direct current (DC) bus voltage. Aiming at this problem, a virtual inertia optimal control strategy applied to optical storage microgrid is proposed.
Hongfei LIAO +5 more
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From collective intelligence to evolutionary computation and machine learning, symmetry can be leveraged to enhance algorithm performance, streamline computational procedures, and elevate solution quality. Grasping and leveraging symmetry can give rise to more resilient, scalable, and understandable algorithms.
Li Cao +4 more
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Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data [PDF]
In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading
Lella Kranthi Kumar +5 more
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Comparison of Planning Models for Dynamic Berth Allocation Problem Using A Sailfish-based Algorithm
Abstract Decide when and where allocate incoming ships at a container terminal is among the main problem confronted by port operators. This problem often called " the Berth Allocation Problem (BAP)".In this work, we realize an analytical study on the major planning models presented in the literature for the berth allocation problem, namely dynamic ...
Issam El hammouti, Mohamed El Merouani
exaly +2 more sources
High-Performance Speed Control of BLDC Motor Drives Using a PI Sailfish Optimization Algorithm
BLDC motors are utilized in electric cars, robotics, drones, home appliances and medical equipment due to their effectiveness, dependability, and accurate control.
Othman Abdalkader Othman +4 more
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Periodic pressure prediction of working face based on dynamic adaptive sailfish optimization BP neural network [PDF]
In order to solve the problems of insufficient precision, poor generalization, and high computational requirements of existing methods for periodic pressure prediction of working face, a periodic pressure prediction model of working face based on dynamic
YAO Yupeng, XIONG Wu
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<i>PhyloRef</i>: A Semi-Automated Workflow for eDNA Reference Database Curation via Phylogenetic Anomaly Detection. [PDF]
PhyloRef processes complete mitochondrial genomes with optional multi‐gene concatenation to flag three categories of phylogenetic anomalies based on tree topology and annotates ambiguous sequences with “similar_to=” labels. The workflow successfully curated 7600+ chondrichthyan and actinopterygian sequences from NCBI, identifying and removing 410 ...
Mai Y, Li C.
europepmc +2 more sources
This article uses the sailfish outline as an airfoil profile to create a dual vertical-axis water turbine model for capturing wave and tidal current energy. A parametric water turbine model is built with the shape function perturbation and characteristic
Aiping Wu +3 more
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This paper introduces a hybrid multi-objective optimization algorithm, designated HMODESFO, which amalgamates the exploratory prowess of Differential Evolution (DE) with the rapid convergence attributes of the Sailfish Optimization (SFO) algorithm. The primary objective is to address multi-objective optimization challenges within mechanical engineering,
Sedak, Miloš +2 more
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