Tag: particle swarm optimization

Reinforcement learning and swarm intelligence combine to let cloud systems re-provision resources on the fly as workflows change mid-execution, outperforming ...

A new hierarchical reinforcement learning framework pairing DDQN and DDPG cuts collision rates by more than half and reduces passenger ...

An improved particle swarm optimization algorithm with adaptive parameters, Gaussian perturbation, and a triggered breeding-pool crossover mechanism achieves 13.75–43.72% lower ...

Researchers have developed a two-stage wavelet and swarm-optimized neural network framework that detects and classifies faults in underground transmission cables ...

Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a community detection algorithm that achieves perfect ...

Slovak researchers have built a prototype that pairs a binary particle swarm algorithm with the Sibyla forest growth simulator to ...

Researchers have developed a modified particle swarm optimization algorithm that outperforms eight competing heuristics in mobile robot path planning, cutting ...

Researchers have applied a krill herd optimization algorithm to software-defined network clustering, reporting significant gains in latency, cluster separation, and ...

A sequential hybrid metaheuristic framework combining PSO, HHO, or BSO with the Binary Al-Biruni Earth Radius algorithm produces more compact ...

Researchers have developed a coordinated optimization framework that uses mutation-enhanced particle swarm optimization to arrange 53 satellite components under attitude-control ...