Solving Travelling Salesman Problem using Ant Colony Optimization
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Updated
Sep 11, 2019 - Python
Solving Travelling Salesman Problem using Ant Colony Optimization
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Website for managing tours for the Museum of South Texas History. NOTE: Create a folder named scheduling and put all files except MOSTScheduling, db.sqlite3, geckodriver.log, manage.py and the READMEs inside that folder. To run the site use the command: 'python3 manage.py runserver'
Tour operators and transport providers often struggle to notify customers about delays in scheduled pickups. This workflow automates WhatsApp updates by calculating estimated pickup times with a traffic route API and sending confirmation or delay messages accordingly.
Repo for 1CK00 Transport and Distribution TUe
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