Truck-Drone Delivery Optimization Based on Multi-Agent Reinforcement Learning

Autor: Zhiliang Bi, Xiwang Guo, Jiacun Wang, Shujin Qin, Guanjun Liu

Publikováno v: Drones, Vol 8, Iss 1, p 27 (2024)

In recent years, the adoption of truck–drone collaborative delivery has emerged as an innovative approach to enhance transportation efficiency and minimize the depletion of human resources. Such a model simultaneously addresses the endurance limita

Externí odkaz: https://doaj.org/article/c3e48f58fdbe4f2ebee1c989390f0667

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Planification temporelle avec les contraintes floues et préférences

Autor: Jobczyk, Krystian

Publikováno v: Artificial Intelligence [cs.AI]. Normandie Université; Akademia Górniczo-Hutnicza (Cracovie, Pologne), 2017. English. ⟨NNT : 2017NORMC259⟩

Temporal planning forms conceptually a part of temporal reasoning and it belongs to research area of Artificial Intelligence and it may be seen as an extension of classical planning by temporal aspects of acting. Temporal planing is usually complemen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::83f9dc9fea8c204afc846097fb903c02
https://theses.hal.science/tel-01729288

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Negotiation Between Distributed Agents in a Concurrent Engineering System

Autor: Victor, Sundar K.

Publikováno v: Masters Theses (All Theses, All Years).

"Current approaches to design are often serial and iterative in nature, leading to poor quality of design and reduced productivity. Complex artifacts are designed by groups of experts, each with his/her own area of expertise. Hence design can be mode

Externí odkaz: https://digitalcommons.wpi.edu/etd-theses/1083
https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=2082&context=etd-theses