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Published in 2017 at "Swarm Intelligence"
DOI: 10.1007/s11721-017-0144-7
Abstract: Particle swarm optimisation (PSO) is a metaheuristic algorithm used to find good solutions in a wide range of optimisation problems. The success of metaheuristic approaches is often dependent on the tuning of the control parameters.…
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Keywords:
stability;
particle swarm;
optimisation;
swarm optimisation ... See more keywords
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Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2019.4001
Abstract: An effective and robust hybrid algorithm consisting of particle swarm optimisation (PSO) and limited memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) method based on artificial neural network (ANN) is proposed for modelling flexible metal-oxide thin-film transistors (TFTs). The L-BFGS…
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Keywords:
neural network;
metal oxide;
particle swarm;
artificial neural ... See more keywords
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Published in 2018 at "Iet Power Electronics"
DOI: 10.1049/iet-pel.2017.0697
Abstract: Multilevel inverters (MLIs) are nowadays extensively used in integration with renewable energy sources and in drives applications. The converter cost and voltage quality improvement are the utmost importance in such application of MLI. A six-switch…
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Keywords:
mli;
harmonic elimination;
swarm optimisation;
based modified ... See more keywords
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Published in 2020 at "International Journal of Production Research"
DOI: 10.1080/00207543.2019.1701209
Abstract: Sustainable and efficient food supply chain has become an essential component of one’s life. The model proposed in this paper is deeply linked to people's quality of life as a result of which there is…
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Keywords:
swarm optimisation;
food logistics;
multi objective;
particle swarm ... See more keywords
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Published in 2023 at "Acta ophthalmologica"
DOI: 10.1111/aos.15664
Abstract: PURPOSE To investigate particle swarm optimisation (PSO) as a modern purely data driven non-linear iterative strategy for lens formula constant optimisation in intraocular lens power calculation. METHODS A PSO algorithm was implemented for optimising the…
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Keywords:
particle swarm;
constant optimisation;
optimisation;
swarm optimisation ... See more keywords
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Published in 2017 at "International Journal of Logistics Systems and Management"
DOI: 10.1504/ijlsm.2017.10005788
Abstract: Transportation policy seeks to improve agency freight and cargo management and enhance sustainable, efficient and effective transportation operations. In this paper, four new fuzzy fixed charge solid transportation problems (FFCSTP) are formulated to maximise the…
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Keywords:
transportation;
transportation problems;
genetic algorithm;
particle swarm ... See more keywords