Results 21 to 30 of about 12,176,108 (293)

Research on the scheduling method of ground resource under uncertain arrival time

Operations Research Perspectives, 2023
We present a two-stage scheduling approach including proactive and reactive scheduling to solve the ground resource scheduling problem with uncertain arrival time.
Guoning Xu, Yupeng Lin, Zhiying Wu, Qingxin Chen, Ning Mao   +4 more
doaj   +1 more source

An adaptive large neighborhood search algorithm for Vehicle Routing Problem with Multiple Time Windows constraints

Journal of Industrial and Management Optimization, 2023
<p style='text-indent:20px;'>The Vehicle Routing Problem with Multiple Time Windows (VRPMTW) is a generalization of problems in real life logistics distribution, which has a wide range of applications and research values. Several neighborhood search based methods have been used to solve this kind of problem, but it still has drawbacks of ...
Feng, Bin, Wei, Lixin, Hu, Ziyu
openaire   +2 more sources

Adaptive particle swarm optimization [PDF]

, 2009
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhan, Z-H., Li, Y., Chung, H.S-H., Zhang, J.   +3 more
core   +1 more source

Dynamic sub-route-based self-adaptive beam search Q-learning algorithm for traveling salesman problem.

PLoS ONE, 2023
In this paper, a dynamic sub-route-based self-adaptive beam search Q-learning (DSRABSQL) algorithm is proposed that provides a reinforcement learning (RL) framework combined with local search to solve the traveling salesman problem (TSP). DSRABSQL builds
Jin Zhang, Qing Liu, XiaoHang Han
doaj   +1 more source

Buffer capacity allocation in unreliable production lines: An adaptive large neighborhood search approach

Engineering Science and Technology, an International Journal, 2021
The design of a production line directly affects the system performance which is usually measured by its throughput. The problem involving determination of the optimal capacity and location of the buffers in a production line is known as the buffer ...
Mehmet Ulaş Koyuncuoğlu, Leyla Demir
doaj   +1 more source

Hybrid adaptive large neighborhood search algorithm for the mixed fleet heterogeneous dial-a-ride problem [PDF]

Journal of Heuristics, 2019
The mixed fleet heterogeneous dial-a-ride problem (MF-HDARP) consists of designing vehicle routes for a set of users by using a mixed fleet including both heterogeneous conventional and alternative fuel vehicles. In addition, a vehicle is allowed to refuel from a fuel station to eliminate the risk of running out of fuel during its service.
Mohamed Amine Masmoudi, Manar Hosny 0001, Emrah Demir, Erwin Pesch   +3 more
openaire   +3 more sources

Adaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques [PDF]

, 2007
Motion estimation is the most time-consuming subsystem in a video codec. Thus, more efficient methods of motion estimation should be investigated. Real video sequences usually exhibit a wide-range of motion content as well as different degrees of detail,
González Díaz, Iván, Sergio Sanz-Rodriguez, Frutos-López, Manuel de, Díaz de María, Fernando, Fernando Diaz-de-Maria, Sanz-Rodríguez, Sergio, Ivan Gonzalez-Diaz, de-Frutos-López, Manuel, Manuel de-Frutos-Lopez, González-Díaz, Iván, Sanz Rodríguez-Escalona, Sergio, Díaz-de-María, Fernando, González Díaz, I.   +12 more
core   +1 more source

Research on Route Optimization of Single-Supply-Point Perishable Goods Multimodal Transport Considering Transportation Vibration Loss

Mathematics
As the market of perishable goods in China continues to expand, reducing quality loss during transportation has become an urgent issue for the industry.
Yang Xu, Mei-Juan Ma, Xin Zhang, Bin Su, Meng Zhang, Qing-E Guo   +5 more
doaj   +1 more source

Solving the multi-level location routing problem considering the environmental impact using a hybrid metaheuristic

International Journal of Engineering Business Management, 2021
The multi-level location routing problem (MLLRP) is an extension of the capacitated location routing problem (CLRP). MLLRPs are considered a class of combinatorial optimization problems that arise in transportation applications, such as agricultural ...
Chalermchat Theeraviriya, Kitchanut Ruamboon, Nat Praseeratasang   +2 more
doaj   +1 more source

Vehicle Routing Problem with Reverse Cross-Docking: An Adaptive Large Neighborhood Search Algorithm

, 2020
Cross-docking is a logistics strategy that aims at less transportation costs and fast customer deliveries. Incorporating an efficient vehicle routing could increase the benefits of the cross-docking. In this paper, the vehicle routing problem with reverse cross-docking (VRP-RCD) is studied.
Aldy Gunawan, Audrey Tedja Widjaja, Pieter Vansteenwegen, Vincent F. Yu   +3 more
openaire   +3 more sources