A library for topological network optimization
🖧 Designed this network configuration for the network of three companies, given some constraints. Its an interesting problem demonstrating the concepts of Classless IP Subnetting and using RIPv2 Protocol.
A network topology design for a university using Cisco Packet Tracer
Enterprise Networking Projects / Cisco Packet Tracer Projects (Project #6)
Advance your network automation with Netpicker - config backup, security / compliance testing and job automation in one platform
Design College Computer Network on Cisco Packet Tracer.
The official Python library for the Log-hub API
Using Cisco Packet Tracer I have built a complex Network design for school.
A Julia solver of Ring Star Problem variants
Streamlines IP planning and allocation, optimizing network management across multiple branches and departments.
A virtual computer network design for an organization having 6 departments.
This College Network Design is about designing a topology of a network that is a LAN (Local Area Network) for a College Campus in which various devices of different departments are set up so that they can interact and communicate with each other by interchanging data.This network is designed with email server so data can be sent and received usi…
Examples for OPTANO.Modeling
Test and verify your network design, compliance and security using pytests
Pytorch implementation of "Designing Network Design Spaces" (CVPR 2020)
Comparison of ILP and Heuristic solutions for the Routing and Wavelength Assignment (RWA) problem using NSFNET topology and random traffic matrices.
A network topology design for my College using Cisco Packet Tracer.
This repository is related to the following article entitled "A hybrid deep-learning-metaheuristic framework for bi-level network design problems" Madadi and Correia (2023). For theory and methodology details, please refer to the article here: https://doi.org/10.1016/j.eswa.2023.122814
Implementation of optimization model for autonomous vehicles using mosel (Express) and some small scripts in Python to generate data.
A two-echelon network optimization model with plants and customers where adding a limited number of warehouses at plant locations should be considered
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