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María Elena Tejeda-del-Cueto, Manuel Alberto Flores-Alfaro, Miguel Toledo-Velázquez, Lorena del Carmen Santos-Cortes, José Hernández-Hernández and Marco Osvaldo Vigueras-Zúñiga
The objective of this study is to develop a genetic algorithm that uses the IGP parameterization to increase the lift coefficient (CL) of three airfoils to be used on wings of unmanned aerial vehicles (UAVs). The geometry of three baseline airfoils was m...
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Nur Hamid, Willy Dharmawan and Hidetaka Nambo
Unmanned surface vehicles (USVs) are experiencing significant development across various fields due to extensive research, enabling these devices to offer substantial benefits. One kind of research that has been developed to produce better USVs is path p...
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Filippo Poltronieri, Cesare Stefanelli, Mauro Tortonesi and Mattia Zaccarini
Modern computing environments, thanks to the advent of enabling technologies such as Multi-access Edge Computing (MEC), effectively represent a Cloud Continuum, a capillary network of computing resources that extend from the Edge of the network to the Cl...
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Mohammad Tubishat, Feras Al-Obeidat, Ali Safaa Sadiq and Seyedali Mirjalili
Spam emails have become a pervasive issue in recent years, as internet users receive increasing amounts of unwanted or fake emails. To combat this issue, automatic spam detection methods have been proposed, which aim to classify emails into spam and non-...
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Samira Ghorbanpour, Mingyu Seo, Jeong-Ju Park, Musu Kim, Yuwei Jin and Sekyung Han
A significant amount of the literature is focused on converters that supply the required voltage with low input-current ripple to electronic devices. A hybrid converter that combines boost and Cuk converters was developed recently. This hybrid converter ...
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Fabrice Saffre and Hanno Hildmann
Genetic algorithms (GA?s) are mostly used as an offline optimisation method to discover a suitable solution to a complex problem prior to implementation. In this paper, we present a different application in which a GA is used to progressively adapt the c...
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Bi Kouaï Bertin Kayé, Moustapha Diaby, Moussa Koivogui and Souleymane Oumtanaga
This study aims to compare the results of a memetic algorithm with those of the two-phase decomposition heuristic on the external depot production routing problem in a supply chain. We have modified the classical scheme of a genetic algorithm by replacin...
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Laith Abualigah, Amir H. Gandomi, Mohamed Abd Elaziz, Abdelazim G. Hussien, Ahmad M. Khasawneh, Mohammad Alshinwan and Essam H. Houssein
Text clustering is one of the efficient unsupervised learning techniques used to partition a huge number of text documents into a subset of clusters. In which, each cluster contains similar documents and the clusters contain dissimilar text documents. Na...
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Renqiang Wang, Donglou Li and Keyin Miao
To improve the tracking stability control of unmanned surface vehicles (USVs), an intelligent control algorithm was proposed on the basis of an optimized radial basis function (RBF) neural network. The design process was as follows. First, the adaptation...
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Aris Lanaridis, Giorgos Siolas and Andreas Stafylopatis
Pattern classification is a central problem in machine learning, with a wide array of applications, and rule-based classifiers are one of the most prominent approaches. Among these classifiers, Incremental Rule Learning algorithms combine the advantages ...
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