Abstract: This paper presents a self-evolving multi-agent robotic swarm for adaptive environmental monitoring in unstructured and dynamic terrains, addressing limitations of existing swarms that rely ...
Abstract: This paper proposes an emergency scheduling optimization method for natural gas pipeline networks based on the Artificial Bee Colony. To evaluate the practicality of this method, the paper ...