Results 41 to 50 of about 8,762 (265)

An improved deep reinforcement learning routing technique for collision-free VANET

open access: yesScientific Reports, 2023
Vehicular Adhoc Networks (VANETs) is an emerging field that employs a wireless local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc Networks (VANETs) comprise diverse entities that are integrated to establish effective ...
Pratima Upadhyay   +7 more
doaj   +1 more source

A Review of Vehicle to Vehicle Communication Protocols for VANETs in the Urban Environment

open access: yesFuture Internet, 2018
Vehicular Ad-hoc Networks (VANETs) have been gaining significant attention from the research community due to their increasing importance for building an intelligent transportation system.
Irshad Ahmed Abbasi, Adnan Shahid Khan
doaj   +1 more source

Current State of Dynamic Vehicle Routing Problems Solved by Ant Colony Optimization Algorithm

open access: yesTehnički Glasnik, 2021
Dynamic Vehicle Routing Problem is a more complex version of Vehicle Routing Problem, closer to the present, real-world problems. Heuristic methods are used to solve the problem as Vehicle Routing Problem is NP-hard. Among many different solution methods,
Luka Olivari, Goran Đukić
doaj  

Determination of inventory replenishment policy with the open vehicle routing concept in a multi-depot and multi-retailer distribution system

open access: yesEngineering and Applied Science Research, 2018
The Inventory Open Vehicle Routing Problem (IOVRP) involves decisions in inventory replenishment and vehicle routing of a system having multiple depots and multiple retailers.
Anchalee Supithak, Wisut Supithak
doaj   +1 more source

Application of the Logistics Management System Based on Cloud Computing Technology

open access: yesJournal of Control Science and Engineering, 2022
In order to solve the vehicle routing optimization problem of cold chain logistics distribution, this paper proposes a vehicle routing optimization method of cold chain logistics distribution based on cloud computing technology.
Shuai Zhang
doaj   +1 more source

A Hybrid Reinforcement Learning-Based Model for the Vehicle Routing Problem in Transportation Logistics

open access: yesIEEE Access, 2021
Currently, the number of deliveries handled by transportation logistics is rapidly increasing because of the significant growth of the e-commerce industry, resulting in the need for improved functional vehicle routing measures for logistic companies. The
Thananut Phiboonbanakit   +3 more
doaj   +1 more source

Intelligent Vehicle Scheduling and Routing for a Chain of Retail Stores: A Case Study of Dhaka, Bangladesh

open access: yesLogistics, 2021
Background: Retail chains aim to maintain a competitive advantage by ensuring product availability and fulfilling customer demand on-time. However, inefficient scheduling and vehicle routing from the distribution center may cause delivery delays and ...
M. Azizur Rahman   +5 more
doaj   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan   +16 more
wiley   +1 more source

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

open access: yesMolecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez   +5 more
wiley   +1 more source

SavingsAnts for the Vehicle Routing Problem

open access: yes, 2002
In this paper we propose a hybrid approach for solving vehicle routing problems. The main idea is to combine an Ant System (AS) with a problem specific constructive heuristic, namely the well known Savings algorithm. This differs from previous approaches, where the subordinate heuristic was the Nearest Neighbor algorithm initially proposed for the TSP.
Karl Doerner   +5 more
openaire   +5 more sources

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