TL;DR
Simulation results show that the framework significantly improves swarm interception efficiency and cross-scenario generalization in complex dynamic scenarios.
The evolution of intelligent transportation systems is driving a paradigm shift in highway driving from isolated individual intelligence to collaborative swarm intelligence. However, realizing efficient coordination in mixed traffic flows remains impeded by two critical challenges: the non-stationarity of reward signal...
Findings indicate that directional pheromone-gradient observations provide an effective and communication-efficient mechanism for decentralized swarm coordination, improving search effectiveness and operational robustness in post-disaster SAR scenarios.
PPR is proposed, a lightweight algorithm-agnostic detector that smooths agents'turn streams, highlights recent changes, and applies a statistical drift detector to flag significant shifts and shows a trade-off between detection speed and alarm stability.
Experiments on six real-world social networks under the Independent Cascade model show that Multiple-roles GWO achieves competitive or superior influence spread compared with state-of-the-art heuristic baselines, with comparable computational efficiency.
In cooperative Multi-Agent Reinforcement Learning (MARL), agents must learn to coordinate their actions to achieve shared objectives. A key indicator of effective coordination is behavioral diversity, i.e., the agents'potential to enact distinct yet complementary control policies given the same set of observations. Alt...
Cooperative multi-UAV path planning must produce coupled trajectories that respect inter-UAV separation constraints through environments with moving obstacles, wind, GPS jamming, and communication loss. Population-based metaheuristics handle the resulting nonconvex, dynamic objectives well, and reinforcement-learning (...
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