Results 41 to 50 of about 877 (188)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
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

Genetic algorithm to the bi-objective multiple travelling salesman problem

Alexandria Engineering Journal
The travelling salesman problem (TSP) and its variants have been studied extensively due to its wide range of real-world applications, yet there are challenges in providing efficient algorithms to deal with some of its variants.
Shayathri Linganathan, Purusotham Singamsetty   +1 more
doaj   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
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

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
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

COMPARISON OF PARETO EFFICIENCY AND WEIGHTED OBJECTIVES METHOD TO SOLVE THE MULTI-CRITERIA VEHICLE ROUTING PROBLEM USING THE ARTIFICIAL IMMUNE SYSTEM [PDF]

Applied Computer Science, 2016
The solutions to the multi-criteria vehicle routing problem, dependent on route length and travelling time of delivery van, are presented in the paper. This type of problem is known as a traveling salesman problem. The artificial immune system is used to
Bogna MRÓWCZYŃSKA
doaj  

Cargo Vessel Route Rationalization with Chimerical Genetic Algorithm [PDF]

TransNav, 2020
One of the most basic problems in logistics is the problem of route rationalization. Route rationalization may be based on different criterions, but at its core it always can be reduced to classic mathematical problems, such as travelling salesman ...
Alexander Kuznetsov, G.B. Popov
doaj   +1 more source

On‐Time Meal Delivery Assisted by Drone Resupply

Naval Research Logistics (NRL), EarlyView.
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

Experimental Analysis of Ant System on Travelling Salesman Problem Dataset TSPLIB [PDF]

EAI Endorsed Transactions on Pervasive Health and Technology, 2019
INTRODUCTION: Traveling Salesman Problem (TSP) is one of the vast research areas and has been considered as subproblems in many fields apart from computer science and also in the field of computer science.OBJECTIVES: This paper deals with the comparison ...
Kalaipriyan Thirugnanasambandam, Raghav. R.S, Saravanan. D, Prabu. U, Rajeswari. M   +4 more
doaj   +1 more source

Optimization of distribution routes in resolving traveling salesman problems using the tabu search algorithm (case study: CV. Bintang anugerah sukses pekanbaru)

Desimal, 2021
CV. Bintang Anugerah Sukses is a company engaged in the distribution of product PT. Belfoods Indonesia. Distribution of frozen goods distributes to 12 customer agencies using one vehicle.
Sri Basriati, Elfira Safitri, Resi Anggraini   +2 more
doaj   +1 more source