新的PSO变体通过自适应梯度和超图拓扑增强优化 · 跟踪4个来源

报道来源 [5]

1. arXiv cs.AI TIER_1 English(EN) · Aryan Gurudeo · 2026-08-13 04:00

   自适应混合粒子群优化与梯度下降

   arXiv:2608.11258v1 Announce Type: new Abstract: Gradient injection helps Particle Swarm Optimization (PSO) only when the swarm has identified a basin with smooth local structure, not universally. We propose Adaptive Hybrid PSO (AHPSO), which uses a sigmoid function on swarm diver…

2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Aryan Gurudeo · 2026-08-07 14:47

   自适应混合粒子群优化与梯度下降

   Gradient injection helps Particle Swarm Optimization (PSO) only when the swarm has identified a basin with smooth local structure, not universally. We propose Adaptive Hybrid PSO (AHPSO), which uses a sigmoid function on swarm diversity to automatically modulate gradient influenc…

3. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Qiang Zhang · 2026-08-05 14:05

   HPSO：基于超图拓扑的粒子群优化

   Particle swarm optimization (PSO) has been widely applied to solve complex optimization problems from real-world applications due to its efficient exploration of large solution spaces and the ability to converge towards optimal solutions without requiring gradient information. Co…

4. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Ran Cheng · 2026-07-29 03:34

   AutoPSO：自动化粒子群优化元框架

   Particle swarm optimization (PSO) is a widely used metaheuristic, prized for its simplicity and small parameter set. Although decades of research have produced numerous PSO variants that improve performance by modifying key components (e.g., parameter schedules, swarm topologies,…

5. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Ran Cheng · 2026-07-29 03:34

   AutoPSO：自动化粒子群优化元框架

   Particle swarm optimization (PSO) is a widely used metaheuristic, prized for its simplicity and small parameter set. Although decades of research have produced numerous PSO variants that improve performance by modifying key components (e.g., parameter schedules, swarm topologies,…