Particle Swarm Optimization
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Recommendedpaper · 2026-06-10
“We propose a specific adaptive CVaR schedule that gradually tightens the sampled tail used for optimization, together with a two-stage optimizer combining global exploration with Particle Swarm Optimization and local refinement with the Nakanishi-Fujii-Todo optimizer.”
Optimizing VQA Performance for Dynamic Portfolio Optimization on Near-Term Quant ↗