IoT applications and challenges in smart cities and services
Abstract Internet of Things (IoT) is a revolutionary and novel platform where a smart network
connects to the large number of electronic devices via internet through available …
connects to the large number of electronic devices via internet through available …
Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method
D Krupenev, D Boyarkin, D Iakubovskii - Reliability Engineering & System …, 2020 - Elsevier
The reliability of energy systems is assessed to control their operation and expansion. An
effective method for reliability assessment is the Monte Carlo method. This process …
effective method for reliability assessment is the Monte Carlo method. This process …
[HTML][HTML] A machine learning optimization approach for last-mile delivery and third-party logistics
Third-party logistics is now an essential component of efficient delivery systems, enabling
companies to purchase carrier services instead of an expensive fleet of vehicles. However …
companies to purchase carrier services instead of an expensive fleet of vehicles. However …
A tabu search algorithm for the probabilistic orienteering problem
Abstract The Orienteering Problem is a routing problem aiming at selecting a subset of a
given set of customers to be visited within a given time budget, so that a total revenue is …
given set of customers to be visited within a given time budget, so that a total revenue is …
[HTML][HTML] Solving routing problems for multiple cooperative Unmanned Aerial Vehicles using Transformer networks
Abstract Missions involving Unmanned Aerial Vehicle usually consist of reaching a set of
regions, performing some actions in each region, and returning to a determined depot after …
regions, performing some actions in each region, and returning to a determined depot after …
[HTML][HTML] The probabilistic travelling salesman problem with crowdsourcing
We study a variant of the Probabilistic Travelling Salesman Problem arising when retailers
crowdsource last-mile deliveries to their own customers, who can refuse or accept in …
crowdsource last-mile deliveries to their own customers, who can refuse or accept in …
Machine learning approaches for the traveling salesman problem: A survey
U Junior Mele, L Maria Gambardella… - Proceedings of the 2021 …, 2021 - dl.acm.org
Machine Learning techniques have been applied in many contexts with great success. In
this survey, we focus on their applications in the Combinatorial Optimization (CO) domain …
this survey, we focus on their applications in the Combinatorial Optimization (CO) domain …
Navigating Uncertainty: A Framework for Optimising Public Transport Networks' Performance
Public transport (PT) networks face significant challenges in achieving optimal outcomes
due to the presence of risk and uncertainty. Despite the importance of optimising PT …
due to the presence of risk and uncertainty. Despite the importance of optimising PT …
Notice of Removal: Reinforcement Learning and Additional Rewardsfor the Traveling Salesman Problem
A comprehensive literature on the Traveling Salesman Problem (TSP) is available, and this
problem has become a valuable benchmark to test new heuristic methods for general …
problem has become a valuable benchmark to test new heuristic methods for general …
Reinforcement learning and additional rewards for the traveling salesman problem
A comprehensive literature on the Traveling Salesman Problem (TSP) is available, and this
problem has become a valuable benchmark to test new heuristic methods for general …
problem has become a valuable benchmark to test new heuristic methods for general …