Abstract: To address urban traffic congestion simulation after Traffic Management Initiatives (TMI) implementation, a method combining deep reinforcement learning with environmental optimization is ...
Abstract: In the era of crowd delivery vehicle routing and traffic management in smart cities, a complex challenge appears indistinctly, affecting both developed and developing nations worldwide. This ...
Abstract: Efficient navigation in obstructed environments poses a significant challenge for autonomous robots, particularly in industrial settings where safe and effective movement through complex ...
Abstract: This paper focuses on optimizing parcel logistics in e-commerce networks during emergencies. The research introduces innovative methods, including BP neural network prediction model, ...
Abstract: This paper proposes A dynamic switching strategy based on Dijkstra algorithm and A * algorithm. By setting a threshold, the dynamic switching algorithm according to the distance can improve ...
Abstract: The rapid development of satellite communication technologies has significantly enhanced global connectivity, with Low Earth Orbit (LEO) satellite networks playing a crucial role. However, ...
LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
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