Results 11 to 20 of about 5,026,622 (157)
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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This study improves the accuracy of junction temperature prediction, as the insulated gate bipolar transistor (IGBT) reliability is important for the safe operation of its working system due to junction temperature is limited in its actual performance ...
Lingling Li +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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SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction
Feature selection enables educational data mining provide personalised support and enhance student performance. When using high-dimensional educational datasets, traditional feature selection techniques have premature convergence and inadequate feature ...
Ashjan Hamad Alsabhan +8 more
doaj +2 more sources
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 +2 more
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As a preprocessing for machine learning and data mining, Feature Selection plays an important role. Feature selection aims to streamline high-dimensional data by eliminating irrelevant and redundant features, which reduces the potential curse of ...
Safaa. M. Azzam +2 more
doaj +2 more sources
The Internet of Things (IoT) has transformed cyber-physical systems by enabling seamless connectivity and automation. However, IoT devices face resource constraints, making anomaly detection challenging.
Aravam Babu, A. Bagubali
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In this article, a nonlinear control method based on a virtual synchronous inverter is presented in order to maintain the stability of the microgrid in the island and connected mode with the presence of solar renewable energy sources.
Shasha Li +3 more
doaj +2 more sources
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
doaj +1 more source
The Sailfish Optimizer (SFO) is a metaheuristic algorithm inspired by a group of hunting sailfish that alternates their attacks on group of prey. The SFO algorithm takes advantage of using a simple method for providing the dynamic balance between ...
Hamid Reza Naji +3 more
doaj +1 more source

