Results 41 to 50 of about 11,422 (178)
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Solución al Problema de Secuenciación de Trabajos mediante el Problema del Agente Viajero
Resumen: En este trabajo se estudia el Problema de Secuenciación de Trabajos codificado como un Problema de Agente Viajero y resuelto mediante Algoritmos Genéticos.
G.E. Anaya Fuentes +3 more
doaj +1 more source
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
Linearity in the Traveling Salesman Problem
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bruce W. Colletti, J. Wesley Barnes
openaire +2 more sources
Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley +1 more source
Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression
This paper solves the dynamic traveling salesman problem (DTSP) using dynamic Gaussian Process Regression (DGPR) method. The problem of varying correlation tour is alleviated by the nonstationary covariance function interleaved with DGPR to generate a ...
Stephen M. Akandwanaho +2 more
doaj +1 more source
On‐Time Meal Delivery Assisted by Drone Resupply
ABSTRACT Ensuring timely delivery is crucial with the increasing competition in online meal delivery services. This requires the industry to adopt new technologies and the corresponding operational models, including the use of drones. Concerning the desired features of meal delivery, such as safety and reliability, we propose an operational model that ...
Wenqian Liu, Lindong Liu, Xiangtong Qi
wiley +1 more source
TSP - Infrastructure for the Traveling Salesperson Problem
The traveling salesperson or salesman problem (TSP) is a well known and important combinatorial optimization problem. The goal is to find the shortest tour that visits each city in a given list exactly once and then returns to the starting city.
Kurt Hornik +3 more
core +1 more source
Insights into the application of the traveling salesman problem to logistics without considering financial risk: A bibliometric study [PDF]
Suppliers can use different strategies to distribute their products, Among the most common complex optimization problems related to the transportation of products is the traveling salesman problem.
Amir Mohammad Larni-Fooeik +2 more
doaj +1 more source
ABSTRACT In response to the increasing volume of parcels, last‐mile delivery innovations are exploring the integration of multiple delivery modes. The most prominent examples are delivery vans that, next to being the base for the delivery tasks of their human drivers, also function as mobile launching platforms for drones or autonomous delivery robots.
Nils Boysen +2 more
wiley +1 more source

