Articles with "swarm optimizer" as a keyword



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A discrete collaborative swarm optimizer for resource scheduling problem in mobile cellular networks

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Published in 2021 at "Neural Computing and Applications"

DOI: 10.1007/s00521-021-05803-3

Abstract: This study proposes a discrete collaborative swarm optimizer (DCCSO) for solving the resource scheduling problem in mobile cellular networks, which aims to employ minimum wireless bandwidth to meet various channel demands from each cell without… read more here.

Keywords: resource scheduling; problem; swarm optimizer; scheduling problem ... See more keywords
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A grouping particle swarm optimizer

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Published in 2019 at "Applied Intelligence"

DOI: 10.1007/s10489-019-01409-4

Abstract: Due to the lack of global search capacity, most evolutionary or swarm intelligence based algorithms show their inefficiency when optimizing multi-modal problems. In this paper, we propose a grouping particle swarm optimizer (GPSO) to solve… read more here.

Keywords: grouping particle; swarm optimizer; particle swarm; swarm ... See more keywords
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An improved multi-swarm particle swarm optimizer for optimizing the electric field distribution of multichannel transcranial magnetic stimulation

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Published in 2020 at "Artificial intelligence in medicine"

DOI: 10.1016/j.artmed.2020.101790

Abstract: Multichannel transcranial magnetic stimulation (mTMS) is a therapeutic method to improve psychiatric diseases, which has a flexible working pattern used to different applications. In order to make the electric field distribution in the brain meet… read more here.

Keywords: particle swarm; field distribution; swarm optimizer; swarm ... See more keywords
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A hybrid dimer swarm optimizer

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Published in 2017 at "Computational and Theoretical Chemistry"

DOI: 10.1016/j.comptc.2016.12.019

Abstract: Abstract Here we present a dimer swarm optimizer (DSO) that hybridizes a particle swarm optimizer (PSO) (Dresselhuas et al., 2013) and the stochastic surface walking SSW (Shang and Liu, 2013) method. The DSO has additional… read more here.

Keywords: dimer swarm; swarm optimizer; swarm; hybrid dimer ... See more keywords
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Winner-leading competitive swarm optimizer with dynamic Gaussian mutation for parameter extraction of solar photovoltaic models

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Published in 2020 at "Energy Conversion and Management"

DOI: 10.1016/j.enconman.2019.112450

Abstract: Abstract Extracting accurate and reliable values for involved unknown parameters of solar photovoltaic (PV) cells/modules is considerably significant to the characteristic analysis, fault diagnosis, maximum power point tracking, and efficiency evaluation of PV systems. Solving… read more here.

Keywords: parameter extraction; solar photovoltaic; competitive swarm; swarm optimizer ... See more keywords
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A Quantum Particle Swarm Optimizer With Enhanced Strategy for Global Optimization of Electromagnetic Devices

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Published in 2019 at "IEEE Transactions on Magnetics"

DOI: 10.1109/tmag.2019.2913021

Abstract: Quantum particle swarm optimization (QPSO), inspired from the basic concept of PSO algorithm and quantum theory, is a stochastic searching algorithm. However, the algorithm may encounter a premature convergence when dealing with multimodal and complex… read more here.

Keywords: swarm optimizer; strategy; particle swarm; quantum particle ... See more keywords

Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization

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Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2021.3102298

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) are well suited for computationally expensive optimization. However, most existing SAEAs only focus on low- or medium-dimensional expensive optimization. Thus, a novel SAEA for high-dimensional expensive optimization, denoted as surrogate-assisted multipopulation… read more here.

Keywords: surrogate assisted; dimensional expensive; particle swarm; swarm optimizer ... See more keywords
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Multi-swarm optimizer applied in water distribution networks

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Published in 2019 at "DESALINATION AND WATER TREATMENT"

DOI: 10.5004/dwt.2019.24146

Abstract: In the present work, a new approach is presented for the optimization of multi-modal nonlinear programming problems with constraints or a nondifferentiable objective function. The model is applied in the optimization of water distribution networks… read more here.

Keywords: multi swarm; water; distribution networks; swarm optimizer ... See more keywords