Abstract: The traditional particle swarm optimization (PSO) algorithm suffers from shortcomings like easily falling into local optimum and inadequate sharing of information among particles, To ...
Abstract: Aiming at the weaknesses of Particle Swarm Optimization algorithm (PSO) such as the easiness to get trapped into local optimal, slow convergence speed, and low precision, an improved PSO ...
Semidefinite Programming with Homotopy Conditional Gradient Method (HCGM) and Vu-Condat methods for solving two problems: Fashion-MNIST classification using k-means clustering and geometric embedding ...
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