Results 41 to 50 of about 8,476 (163)

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

The Path Planning Problem of Robotic Delivery in Multi-Floor Hotel Environments

Sensors
Robots have been widely adopted in transportation and delivery applications. Path planning plays a critical role in determining the performance of robotic systems in these tasks.
Linghui Han, Junzhe Ding, Songtao Liu, Meng Meng   +3 more
doaj   +1 more source

Improved Differential Evolution Algorithm to Solve the Advertising Method Selection Problem

Journal of Open Innovation: Technology, Market and Complexity, 2019
This article proposes a methodology to resolve the advertising method selection problem (AdSP). The use of different advertising methods for the same product can generate different responses in terms of the product’s sales volume. Companies selling
Malichan Thongkham, Tassin Srivarapongse
doaj   +1 more source

Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning

Proceedings of the International Conference on Automated Planning and Scheduling
The Adaptive Large Neighborhood Search (ALNS) algorithm has shown considerable success in solving combinatorial optimization problems (COPs). Nonetheless, the performance of ALNS relies on the proper configuration of its selection and acceptance parameters, which is known to be a complex and resource-intensive task. To address this, we introduce a Deep
REIJNEN, Reijnen, ZHANG, Yingqian, LAU, Hoong Chuin, BUKHSH, Zaharah   +3 more
openaire   +4 more sources

An Adaptive Large Neighborhood Search for a Green Vehicle Routing Problem with Depot Sharing

Mathematics
In urban logistics distribution, vehicle carbon emissions during the distribution process significantly contribute to environmental pollution. While developing green logistics is critical for the sustainable growth of the logistics industry, existing ...
Zixuan Wu, Ping Lou, Jianmin Hu, Yuhang Zeng, Chuannian Fan   +4 more
doaj   +1 more source

Reinforced Adaptive Large Neighborhood Search

, 2011
The Large Neighborhood Search metaheuristic for solving Constrained Optimization Problems has been proved to be effective on a wide range of problems. This Local Search heuristic has the particu- larity of using a complete search (such as Constraint Programming) to explore the large neighborhoods obtained by relaxing a fragment of the variables of the ...
Mairy, Jean-Baptiste, Deville, Yves, Van Hentenryck, Pascal, Eightth International Workshop on Local Search Techniques in Constraint Satisfaction (LSCS2011)   +3 more
openaire   +1 more source

A reinforcement learning model for dynamic distribution route optimization of agricultural products under replenishment demand

Alexandria Engineering Journal
Most existing logistics optimization models assume static demand or ignore transportation replenishment, which limits their applicability in dynamic agricultural environments.
Delong Zhu, Qianyang Liu, Dafa Zuo, Lujiang Yin, Baolin Li, Jiang Hu, Caozheng Yan, Bo He, Changchun Xue   +8 more
doaj   +1 more source

Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning

arXiv, 2022
Large Neighborhood Search (LNS) is a popular heuristic for solving combinatorial optimization problems. LNS iteratively explores the neighborhoods in solution spaces using destroy and repair operators. Determining the best operators for LNS to solve a problem at hand is a labor-intensive process.
Reijnen, Robbert, Zhang, Yingqian, Lau, Hoong Chuin, Bukhsh, Zaharah   +3 more
openaire   +1 more source

Sustainable Mixed-Model Assembly Line Balancing with an Analytical Lower Bound and Adaptive Large Neighborhood Search

Mathematics
The growing emphasis on sustainable manufacturing has motivated the integration of environmental and social factors into traditional assembly line balancing problems (ALBPs). This study introduces a Sustainable Mixed-Model Assembly Line Balancing Problem
Esam Alhomaidi
doaj   +1 more source

Location Decision Making and Transportation Route Planning Considering Fuel Consumption

Journal of Open Innovation: Technology, Market and Complexity, 2019
This study presents the Location Routing Problem (LRP) for which we have created a model for the integration of locating facilities and vehicle routing decisions to solve the problem.
Chalermchat Theeraviriya, Rapeepan Pitakaso, Kittima Sillapasa, Sasitorn Kaewman   +3 more
doaj   +1 more source