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54 results for “Particle Swarm Optimization (PSO)”
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Research ArticleOpen accessIn the abstractOptimizing Mobile Edge Computing Efficiency through Multidimensional Generative Adversarial NetworkAnitha Premkumar, Sowmya Vemagal Lakshminarayana, Shankar Rajagopal et al.Big data Processing and the IoT have recently gained popularity as study topics in MEC and thorough research is sought for well-informed decisions. Mobile edge equipment, such as base stations, routers, and edge servers, usually have limited processing capabilities compared to traditional data centers. According to this perspective, this research constructs MEC using Intelligent Outlier Detection with a Multidimensional Generative … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television WhitespacesJoachim Notcker, Emmanuel Adetiba et al.Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and researchers have increasingly explored its propagation characteristics in recent years. Nonetheless, a notable hindrance to its effective utilization lies in the interference between primary and secondary users, as well as interference … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractSlime Mould Reproduction: A New Optimization Algorithm for Constrained Engineering ProblemsRajalakshmi Sakthivel, Kanmani SelvaduraiIn recent explorations of biologically inspired optimization strategies, the Slime Mould Reproduction (SMR) algorithm emerges as an innovative meta-heuristic optimization technique. This algorithm is deeply rooted in the reproductive dynamics observed in slime molds, particularly the intricate balance these organisms strike between local and global spore dispersal. By replicating this balance, the SMR algorithm deftly navigates between exploration and exploitation … …Journal of Computer Science, Vol. 20, Issue 1 · 21 Dec 2023 · 5,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystem Error Estimate using Combination of Classification and Optimization TechniqueKhalid AlattasThe representation of software must produce flawless significances without any inadequacies. Software imperfection evaluations scheme determines defective mechanisms in software. The eventual creation would have minor or negligible shortcomings to harvest great eminence software. Software quality metrics are a division of software metrics that spotlight the quality aspects of the product. The software flaw prediction system helps in the early … …Journal of Computer Science, Vol. 17, Issue 3 · 1 Apr 2021 · 6,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Artificial Neural Network Point Forecasting Models and Prediction Intervals for Solar Irradiance EstimationAntônio Fabrício Guimarães de Sousa, Helaine Cristina Moraes Furtado, Wilson Negrão Macêdo, Anderson Alvarenga de Moura MenesesAn accurate knowledge on solar irradiance prediction is particularly required for proper development and planning of Photovoltaic (PV) energy systems. The main purpose of the present research is to assess the accuracy of Artificial Neural Networks (ANN) short-term forecast of univariate solar irradiance time series, with conventional point prediction and Prediction Intervals (PIs), comparing models. The Lower Upper Bound Estimation … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 17 Jul 2020 · 7,440 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing the Cuckoo Search for Generating New Particles in Particle Swarm Optimization AlgorithmFariaa Abdalmajeed Hameed, Harith Raad Hasan, Ahmed Abdullah Ahmed, Gulala Ali Hama AminThis study is focused on as Cuckoo Search (CS), one of the current meta-heuristic optimization algorithm. The CS algorithm is useful in generating and searching for the most optimum particles of important meta-heuristic optimization algorithm, known as the Particle Swarm Optimization (PSO), to enhance its performance. This optimization is confirmed through a benchmark online optimization and actual problems. The PSO … …Journal of Computer Science, Vol. 16, Issue 4 · 30 Apr 2020 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficiency of Hybrid MPPT Techniques Based on ANN and PSO for Photovoltaic Systems under Partially Shading ConditionsMax Tatsuhiko Mitsuya, Anderson Alvarenga de Moura MenesesHybrid Maximum Power Point Tracking (MPPT) algorithms have been investigated as an alternative to improve the performance of conventional MPPT, such as Perturb and Observe (P&O), Incremental Conductance (InC) and Hill Climbing (HC) in Photovoltaic (PV) systems under Partially Shading Co+ndition (PSC). In the present article, Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) hybridized with P&O algorithm for … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 3 Oct 2019 · 8,888 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm OptimizationTayseer M.F. Taha, Summrina Kanwal Wajid, Amir HussainSpeech enhancement is used in almost all modern communication systems. This is due to the quality of speech being degraded by environmental interference factors, such as: Acoustic additive noise, acoustic reverberation or white Gaussian noise. This paper, explores the potential of different benchmark optimization techniques for enhancing the speech signal. This is accomplished by fine tuning filter coefficients using a … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 7,729 accessesView PDFCite
Research ArticleOpen accessIn the abstractMetaheuristic Algorithms for Independent Task Scheduling in Symmetric and Asymmetric Cloud Computing EnvironmentNagwan M. Abdel Samee, Sara Sayed Ahmed, Rania Ahmed Abdel Azeem Abul SeoudCloud Computing (CC) is a recent technology in the Information and Communication Technology (ICT) field. It provides an on-demand access to the shared pool of resources via virtualization. Large enterprises move toward CC due to its flexibility and scalability driven from its elastic pay-per-use model. To provide ensured efficient performance to users, tasks should be efficiently mapped to available resources. … …Journal of Computer Science, Vol. 15, Issue 4 · 3 May 2019 · 7,649 accessesView PDFCite