A novel consensus-based optimization algorithm with α-stable jumps is formulated at the particle level, yielding a fractional Fokker-Planck equation, a rigorous convergence proof, and improved numerical performance over diffusion-based methods.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Consensus-based optimization with $\alpha$-stable jump processes
A novel consensus-based optimization algorithm with α-stable jumps is formulated at the particle level, yielding a fractional Fokker-Planck equation, a rigorous convergence proof, and improved numerical performance over diffusion-based methods.