Suchergebnisse - Developed particle swarm algorithm
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Optimal management of microgrid energy by considering demand side management plan and maintenance cost with developed particle swarm algorithm
ISSN: 0378-7796, 1873-2046Veröffentlicht: Elsevier B.V 01.06.2024Veröffentlicht in Electric power systems research (01.06.2024)“… •Unique approach: load response focus in microgrid energy management.•Economic load response model: simplicity with price elasticity.•Balancing simplicity and …”
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A developed Criminisi algorithm based on particle swarm optimization (PSO-CA) for image inpainting
ISSN: 0920-8542, 1573-0484Veröffentlicht: New York Springer US 01.07.2024Veröffentlicht in The Journal of supercomputing (01.07.2024)“… To address this issue, this study proposes an improved version of CA, named PSO-CA, which incorporates the particle swarm optimization algorithm (PSO) with CA …”
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Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach
ISSN: 0952-1976, 1873-6769Veröffentlicht: Elsevier Ltd 01.08.2014Veröffentlicht in Engineering applications of artificial intelligence (01.08.2014)“… ). This paper presents Linear/Nonlinear Programming (LP/NLP) formulations of these problems followed by two proposed algorithms for the same based on particle swarm optimization (PSO …”
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Equilibrium optimizer: A novel optimization algorithm
ISSN: 0950-7051, 1872-7409Veröffentlicht: Amsterdam Elsevier B.V 05.03.2020Veröffentlicht in Knowledge-based systems (05.03.2020)“… This paper presents a novel, optimization algorithm called Equilibrium Optimizer (EO …”
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Simple gravitational particle swarm algorithm for multimodal optimization problems
ISSN: 1932-6203, 1932-6203Veröffentlicht: United States Public Library of Science 18.03.2021Veröffentlicht in PloS one (18.03.2021)“… ) algorithm called the gravitational particle swarm algorithm (GPSA). Our GPSA is developed based on the concept …”
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Well Pattern optimization as a planning process using a novel developed optimization algorithm
ISSN: 2045-2322, 2045-2322Veröffentlicht: London Nature Publishing Group UK 05.11.2024Veröffentlicht in Scientific reports (05.11.2024)“… In this study, the efficiency, and reliability of genetic algorithm, particle swarm optimization and in particular a newly developed algorithm was analyzed …”
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Two‐step particle swarm optimization algorithm for effective deconvolution and resolution enhancement of various overlapping peaks
ISSN: 0951-4198, 1097-0231, 1097-0231Veröffentlicht: England Wiley Subscription Services, Inc 15.02.2023Veröffentlicht in Rapid communications in mass spectrometry (15.02.2023)“… Rationale The existing particle swarm optimization (PSO) algorithms are only effective in deconvoluting the overlapping peaks in ion mobility spectra with fewer …”
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Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm
ISSN: 1424-8220, 1424-8220Veröffentlicht: Switzerland MDPI AG 15.03.2023Veröffentlicht in Sensors (Basel, Switzerland) (15.03.2023)“… This study proposes a three-spacecraft formation reconfiguration strategy of minimum fuel for space gravitational wave detection missions in the high Earth …”
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Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization
ISSN: 0016-8025, 1365-2478Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.05.2013Veröffentlicht in Geophysical Prospecting (01.05.2013)“… ABSTRACT Reservoir characterization involves describing different reservoir properties quantitatively using various techniques in spatial variability …”
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An improved particle swarm optimization algorithm for the capacitated location routing problem and for the location routing problem with stochastic demands
ISSN: 1568-4946, 1872-9681Veröffentlicht: Elsevier B.V 01.12.2015Veröffentlicht in Applied soft computing (01.12.2015)“… [Display omitted] •An improved variant of the particle swarm optimization algorithm is presented …”
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Particle swarm optimization with selective particle regeneration for data clustering
ISSN: 0957-4174, 1873-6793Veröffentlicht: Elsevier Ltd 01.06.2011Veröffentlicht in Expert systems with applications (01.06.2011)“… ► We present a novel algorithm developed based on particle swarm optimization. ► The algorithm contains particle regeneration operation …”
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Decomposition-based multiobjective optimization for multipass cell design aided by particle swarm optimization and the K-means algorithm
ISSN: 1094-4087, 1094-4087Veröffentlicht: United States 28.03.2022Veröffentlicht in Optics express (28.03.2022)“… ) and optimize multiple objectives simultaneously. By integrating the K-means algorithm into the particle swarm optimization (PSO …”
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An effective structure prediction method for layered materials based on 2D particle swarm optimization algorithm
ISSN: 1089-7690, 1089-7690Veröffentlicht: United States 14.12.2012Veröffentlicht in The Journal of chemical physics (14.12.2012)“… A structure prediction method for layered materials based on two-dimensional (2D) particle swarm optimization algorithm is developed …”
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Collaborative beamforming in wireless sensor networks using a novel particle swarm optimization algorithm variant
ISSN: 2405-8440, 2405-8440Veröffentlicht: Elsevier Ltd 01.10.2021Veröffentlicht in Heliyon (01.10.2021)“… Particle Swarm Optimization (PSO) algorithm is a good candidate for use in CBF owing to its simplicity and low computation complexity …”
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A finite-time particle swarm optimization algorithm for odor source localization
ISSN: 0020-0255, 1872-6291Veröffentlicht: Elsevier Inc 01.09.2014Veröffentlicht in Information sciences (01.09.2014)“… First, a continuous-time finite-time particle swarm optimization (FPSO) algorithm is developed based on the continuous-time model of the particle swarm optimization (PSO) algorithm …”
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A modified particle swarm optimization algorithm for parameter estimation of a biological system
ISSN: 1742-4682, 1742-4682Veröffentlicht: London BioMed Central 05.11.2018Veröffentlicht in Theoretical biology and medical modelling (05.11.2018)“… However, the estimation of the unknown parameters of the model is a challenging task. Many algorithms have been developed for parameter estimation, but none of them is entirely capable of finding the best solution …”
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Gravity data inversion for parameters assessment over geologically faulted structures—A hybrid particle swarm optimization and gravitational search algorithm technique
ISSN: 0016-8025, 1365-2478Veröffentlicht: Houten Wiley Subscription Services, Inc 01.01.2025Veröffentlicht in Geophysical Prospecting (01.01.2025)“… The basic principle of developed particle swarm optimization and gravitational search algorithm method is to synergistically use the exploratory strengths of gravitational search algorithm …”
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Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill
ISSN: 0177-0667, 1435-5663Veröffentlicht: London Springer London 01.10.2021Veröffentlicht in Engineering with computers (01.10.2021)“… In this research, the support vector machine (SVM) technique coupled with three heuristic algorithms, namely genetic algorithms, particle swarm optimization and salp …”
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Developed Improved Weighed Quantum Particle Swarm Optimisation with Deep Convolutional Neural Network Algorithm to Improve the Automated Concrete Surface Defect Detection in Bridge Inspections
ISSN: 0765-0019, 1958-5608Veröffentlicht: Edmonton International Information and Engineering Technology Association (IIETA) 01.02.2025Veröffentlicht in Traitement du signal (01.02.2025)“… A novel approach Improved Weighed Quantum Particle Swarm Optimisation (IWQPSO) with Deep Convolutional Neural Network …”
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A hybrid particle swarm optimization and multi-layer perceptron algorithm for bivariate fractal analysis of rock fractures roughness
ISSN: 1365-1609, 1873-4545Veröffentlicht: Oxford Elsevier Ltd 01.06.2013Veröffentlicht in International journal of rock mechanics and mining sciences (Oxford, England : 1997) (01.06.2013)“… Application of fractal theory to quantify the roughness of rock fractures has been well developed, and various methods have been presented to estimate the fractal dimension of roughness profiles, D …”
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