Results 81 to 90 of about 10,826,837 (122)

Research on Path Optimization for UAV-Vehicle Collaboration in Emergency Rescue

Journal of Advanced Transportation
With the rapid development of the low-altitude economy, unmanned aerial vehicles (UAVs) have exhibited enormous potential in emergency rescue and material delivery fields due to their flexibility; however, individual UAVs are often constrained by ...
Shouqiang Xue, Weichuan Yin, Yun Xiao, Hongwu Wang, Yufan Wei   +4 more
doaj   +1 more source

An event-driven hybrid rescheduling approach for integrated process planning and scheduling considering stochastic rework

Scientific Reports
While the static integrated process planning and scheduling (IPPS) problem is theoretically well-established, its practical application is limited in unpredictable manufacturing environments demanding dynamic adaptability.
Shuangyuan Shi, Chang Liu, Lvjiang Yin, Hegen Xiong, Fang Xu, Chang Li, Ying Liu   +6 more
doaj   +1 more source

Multi-Sortie UAV Inspection Route Planning in Three-Dimensional Container Yards with Static Obstacles Using a Hybrid SA–ALNS–2OPT Algorithm

Journal of Marine Science and Engineering
To address the challenges posed by a large number of spatially distributed inspection points, dense obstacles, and limited unmanned aerial vehicle (UAV) endurance in container yard inspection, this study investigates a multi-sortie route planning problem
Haiyan Wang, Xueni Tian
doaj   +1 more source

Adaptive Simulated Annealing and Adaptive Large Neighborhood Search Algorithm for Solving Container Loading Problem: A Case Study [PDF]

International Journal of Industrial Engineering and Production Research
Adaptive Simulated Annealing (ASA) and Adaptive Large Neighborhood Search (ALNS) are two metaheuristic algorithms widely applied to solve discrete optimization problems. This study employs both algorithms to address the Container Loading Problem (CLP), a
Wahyu Kurniawan, Achmad Pratama Rifai, Nur Aini Masruroh   +2 more
doaj  

Adaptive Neighborhood Selection for MAPF via Non-Stationary Bandits

Adaptive Large Neighborhood Search (ALNS) is a meta-heuristic framework widely used to solve large-scale MAPF problems. It uses selection mechanisms such as the Roulette Wheel or Multi-Armed Bandit (MAB) policies, which adaptively learn to identify the ...
Mariusz Wzorek, Daniel De Leng, Amath Sow, Fredrik Heintz, de Leng, Daniel, Heintz, Fredrik, de Leng, Daniel,, Sow, Amath, Heintz, Fredrik,, Wzorek, Mariusz, Sow, Amath,, Wzorek, Mariusz,   +11 more
core   +1 more source

An adaptive large neighborhood search for the multi-vehicle profitable tour problem with flexible compartments and mandatory customers [PDF]

The home-refill delivery system is a business model that addresses the concerns of plastic waste and its impact on the environment. It allows customers to pick up their household goods at their doorsteps and refill them into their own containers. However,
GUNAWAN, Aldy, YU, Vincent F., SALSABILA, Nabila Yuraisyah, HANDOKO, Anggun Nurfitriani   +3 more
core   +1 more source

Blockchain-Enabled Infection Sample Collection System Using Two-Echelon Drone-Assisted Mechanism

Drones
The collection and transportation of samples are crucial steps in stopping the initial spread of infectious diseases. This process demands high levels of safety and timeliness.
Shengqi Kang, Xiuwen Fu
doaj   +1 more source

Adaptive large neighborhood search for a personnel task scheduling problem with task selection and parallel task assignments

, 2023
Motivated by a real-world application, we model and solve a complex staff scheduling problem. Tasks are to be assigned to workers for supervision. Multiple tasks can be covered in parallel by a single worker, with worker shifts being flexible within ...
Tricoire, Fabien, Parragh, Sophie N., Gutjahr, Martin   +2 more
core  

Perancangan dan Implementasi Sistem Automate Bayplan Berbasis Adaptive Large Neighborhood Search (ALNS) untuk Optimasi Perencanaan Pemuatan Peti Kemas Kapal

Sistem Automate Bayplan dikembangkan untuk mendukung perencanaan pemuatan kontainer kapal di PT Salam Pacific Indonesia Lines (SPIL) yang selama ini bersifat manual dan kurang efisien.
Arisdani, Eldintaro Farrandi
core  

An Adaptive Large Neighborhood Search Algorithm for Equipment Scheduling in the Railway Yard of an Automated Container Terminal

Journal of Marine Science and Engineering
In container sea–rail combined transport, the railway yard in an automated container terminal (RYACT) is the link in the whole logistics transportation process, and its operation and scheduling efficiency directly affect the efficiency of logistics.
Hongbin Chen, Wei Liu
doaj   +1 more source