Prize-collecting Electric Vehicle routing model for parcel delivery problem
Electric Vehicle (EV)-based parcel delivery is getting much more popular these days due to
EVs being eco-friendly and sustainable. One well-known problem in the literature to study …
EVs being eco-friendly and sustainable. One well-known problem in the literature to study …
Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency
Resource allocation is extremely important, especially when dealing with national security
and threats. During the COVID-19 pandemic, it was proven that testing stations helped …
and threats. During the COVID-19 pandemic, it was proven that testing stations helped …
The set team orienteering problem
Abstract We introduce the Set Team Orienteering Problem (STOP), a generalised variant of
the Set Orienteering Problem (SOP), in which customer locations are split into multiple …
the Set Orienteering Problem (SOP), in which customer locations are split into multiple …
[HTML][HTML] Using Reinforcement Learning in a Dynamic Team Orienteering Problem with Electric Batteries
This paper addresses the team orienteering problem (TOP) with vehicles equipped with
electric batteries under dynamic travel conditions influenced by weather and traffic, which …
electric batteries under dynamic travel conditions influenced by weather and traffic, which …
A prize-dependent loitering time approach to UAS routing: application to South China Sea maritime domain awareness
T Sadov, T Sharp - The Journal of Defense Modeling and …, 2025 - journals.sagepub.com
This article advances the geographic grid approach to military unmanned aircraft systems
(UAS) routing featured in the existing literature. Its contributions are twofold. First, it …
(UAS) routing featured in the existing literature. Its contributions are twofold. First, it …
[PDF][PDF] Optimizing Maintenance of Energy Supply Systems in City Logistics with Heuristics and Reinforcement Learning
[EN] In urban logistics, effective maintenance is crucial for maintaining the reliability and
efficiency of energy supply systems, impacting both asset performance and operational …
efficiency of energy supply systems, impacting both asset performance and operational …
Generation of Tourist Routes Considering Preferences and Public Transport Using Artificial Intelligence Planning Techniques
This work aims to generate a planning model using knowledge representation techniques
from artificial intelligence to plan the transfer routes and the sequence of visits to multiple …
from artificial intelligence to plan the transfer routes and the sequence of visits to multiple …
Applying the Simulated Annealing Algorithm to the Set Orienteering Problem with Mandatory Visits
L Shih-Wei, S Guo, W Wen-Jie - Mathematics, 2024 - search.proquest.com
This study addresses the set orienteering problem with mandatory visits (SOPMV), a variant
of the team orienteering problem (SOP). In SOPMV, certain critical sets must be visited. The …
of the team orienteering problem (SOP). In SOPMV, certain critical sets must be visited. The …
A Hybrid Estimation of Distribution Algorithm with Monarch Butterfly Optimization
B Zhu, L Jia, J Li - … on Computer Supported Cooperative Work in …, 2024 - ieeexplore.ieee.org
The complex optimization problems have been investigated deeply by researchers in the
optimization community. The estimation of distribution algorithm (EDA) and the monarch …
optimization community. The estimation of distribution algorithm (EDA) and the monarch …
Development of a Location Routing Problem model in a Physical Internet Context
H LOUZIM - 2024 - thesis.essa-tlemcen.dz
In today's rapidly changing world of global commerce and logistics, the quest for efficiency,
sustainability, and resilience stands as a top priority. Traditional supply chain models, while …
sustainability, and resilience stands as a top priority. Traditional supply chain models, while …