To further improve the calibration performance, particle swarm optimization algorithm is exploited to generate parameter vectors used in the proposed data-driven calibration scheme. Numerical analyses ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

A weighted multi-objective function is also constructed. Additionally, a Group Merging Particle Swarm Optimization Algorithm (GMPSO) is proposed, incorporating the concept of splitting and ...

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t-Distributed Stochastic Neighbor Embedding with Particle Swarm Optimization (TSNE-PSO) is an enhanced version of t-SNE that uses Particle Swarm Optimization instead of gradient descent for the ...