Results 31 to 40 of about 2,009 (157)
Soft Actor-Critic Approach to Self-Adaptive Particle Swarm Optimisation
Particle swarm optimisation (PSO) is a swarm intelligence algorithm that finds candidate solutions by iteratively updating the positions of particles in a swarm.
Daniel von Eschwege, Andries Engelbrecht
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Source Localisation Using Wavefield Correlation-Enhanced Particle Swarm Optimisation
Particle swarm optimisation (PSO) is a swarm intelligence algorithm used for controlling robotic swarms in applications such as source localisation. However, conventional PSO algorithms consider only the intensity of the received signal.
George Rossides +2 more
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Training of the convolution neural network (CNN) is a problem of global optimisation. This study proposed a hybrid modified particle swarm optimisation (MPSO) and conjugate gradient (CG) algorithm for efficient training of CNN. The training involves MPSO–
Shanshan Tu +7 more
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A hybrid chemical reaction-particle swarm optimisation technique for automatic generation control
In this paper, a novel hybrid chemical reaction optimisation and particle swarm optimisation (HCROPSO) optimised PI controller has been proposed for automatic generation control (AGC) problem.
Banaja Mohanty, P.K. Hota
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Optimisation of the hybrid renewable energy system by HOMER, PSO and CPSO for the study area
This study is based on simulation and optimisation of the renewable energy system of the police control room at Sagar in central India. To analyse this hybrid system, the meteorological data of solar insolation and hourly wind speeds of Sagar in central ...
Vikas Khare +2 more
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With the escalating global climate change, the cost of carbon emissions has become a crucial metric for evaluating the sustainability of logistics systems.
Zeyu WANG, Fujian CHEN, Chengcheng MO
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Energy storage device locating and sizing based on power electronic transformer
In this study, firstly, the bi-directional energy flow of grid-connected photovoltaic and energy storage system based on power electronic transformer is demonstrated.
Qi Geng, Yan Hu
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Discrete particle swarm optimisation for ontology alignment [PDF]
Particle swarm optimisation (PSO) is a biologically-inspired, population-based optimisation technique that has been successfully applied to various problems in science and engineering. In the context of semantic technologies, optimisation problems also occur but have rarely been considered as such. This work addresses the problem of ontology alignment,
Jürgen Bock, Jan Hettenhausen
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Effective proportional–integral–derivative controller tuning is critical for attaining high-performance operation in direct current motor systems, especially when traditional approaches fail under nonlinear or uncertain dynamics.
Oluwaseun O. Martins +2 more
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Owing to aggressive shrinking in nanometre scale as well as faster devices, particle strike manifesting itself into transient fault spanning multiple cycle and multiple units will be the centre-focus of application specific datapath generated through ...
Anirban Sengupta, Deepak Kachave
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