Zobrazeno 1 - 10
of 2 458
pro vyhledávání: '"large neighborhood search"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Aiming at the multi-objective vehicle path planning problem with time windows (VRPTW), a Spark-based parallel Adaptive Large Neighborhood Search algorithm (Spark-ALNS) is proposed to solve it. The main design of the 4-point strategy: (1) Des
Externí odkaz:
https://doaj.org/article/31ebd25dc6ed422c80ba8119c592c220
Autor:
WEI Qian, JI Bin
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1762-1775 (2024)
In order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimizati
Externí odkaz:
https://doaj.org/article/087f93e66b1a4110a1e10a8a1936487d
Publikováno v:
Communications in Transportation Research, Vol 4, Iss , Pp 100152- (2024)
The advancement of self-driving technologies facilitates the emergence of autonomous minibuses (ABs) in public transportation, which could provide flexible, reliable, and safe mobility services. This study develops an AB routing and scheduling model
Externí odkaz:
https://doaj.org/article/823ec89d480045b98f552ccc53337643
Akademický článek
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Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 818-830 (2024)
The vehicle routing problem with simultaneous pickup-delivery and time windows (VRPSPDTW) is a NP hard problem, which has a wide application in modern logistics. Memetic algorithm based on deep reinforcement learning is proposed to solve the problem.
Externí odkaz:
https://doaj.org/article/26be10d16cf0443b9617a2fd3feaf854
Publikováno v:
IEEE Access, Vol 12, Pp 51463-51484 (2024)
This study examines the item storage assignment problem in robotic mobile fulfillment systems (RMFSs), that determines the assignment of items to pods. Unlike previous studies on this problem that generally considered an empty warehouse, the current
Externí odkaz:
https://doaj.org/article/23bac41770374f43b9bd546a8f630187
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3172 (2024)
In the industrial sector, malfunctions of equipment that occur during the production and operation process typically necessitate human intervention to restore normal functionality. However, the question that follows is how to design and optimize the
Externí odkaz:
https://doaj.org/article/eecfab590b8844deb90bf46ffcce2158
Autor:
Kaplan, Marcella Mina
This dissertation integrates the strengths of individual emergent delivery technologies with package characteristics, and rural community needs to meet the demand for equitable, accessible, and inclusive rural delivery that is also cost-effective. To
Externí odkaz:
https://hdl.handle.net/10919/119130
Autor:
Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadıoğlu, Sima E. Borujeni, Helmut G. Katzgraber
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1760-1795 (2023)
We propose and implement an interpretable machine learning classification model for Explainable AI (XAI) based on expressive Boolean formulas. Potential applications include credit scoring and diagnosis of medical conditions. The Boolean formula defi
Externí odkaz:
https://doaj.org/article/0669b6bf00d5475b9e1ccf90ed56b4cf
Akademický článek
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