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Less is more: downsampling x-ray images improves pose estimation accuracy. [PDF]
Med Eng PhysWilliams DE +4 more
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MPPT algorithms for grid-connected solar systems including deep learning approaches. [PDF]
Sci RepDeğermenci M, Yalman Y, Olcay K.
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Evaluation of Multiple Influences on the Unconfined Compressive Strength of Fibre-Reinforced Backfill Using a GWO-LGBM Model. [PDF]
Materials (Basel)Chen X +5 more
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A multi-strategy improved lemur optimiser for global optimisation and engineering applications. [PDF]
Sci RepLi M, Sun D, You Q, Ji C, Xu J.
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Investigation of corrosion and water absorption of biomass natural coir fiber/hBN reinforced epoxy hybrid composites using different optimisation approaches. [PDF]
Sci RepKirubakaran R +7 more
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SSRN Electronic Journal, 2007
Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm.
Riccardo Poli +2 more
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Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm.
Riccardo Poli +2 more
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2020
Particle Swarm Optimization (PSO) was built by mimicking the navigation pattern of entities, such as flock of birds or school of fishes. The algorithm uses established particles that wing over a search space for global optima location. Throughout the PSO iteration process, each particle updates its location based on the preceding knowledge or ...
Modestus O. Okwu, Lagouge K. Tartibu
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Particle Swarm Optimization (PSO) was built by mimicking the navigation pattern of entities, such as flock of birds or school of fishes. The algorithm uses established particles that wing over a search space for global optima location. Throughout the PSO iteration process, each particle updates its location based on the preceding knowledge or ...
Modestus O. Okwu, Lagouge K. Tartibu
openaire +1 more source
Novelty particle swarm optimisation for truss optimisation problems
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021Bilevel optimisation has been successfully applied to truss optimisation to consider topology and sizing in upper and lower levels, respectively. This study proposes novelty particle swarm optimisation for the upper level to discover new designs by maximising novelty.
Hirad Assimi +3 more
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Boid particle swarm optimisation
International Journal of Innovative Computing and Applications, 2009Particle swarm optimisation (PSO) is a novel population-based stochastic optimisation algorithm inspired by the Reynolds' boid model. The original biological background of boid obeys three basic simple steering rules: separation, alignment and cohesion.
Zhihua Cui, Zhongzhi Shi
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