Project Part 1: Timetable

[Dhud6]

Summary

Create a timetable that complies with the constaints and specifications below

Constraints

• The timetable should be maintained in a database
• Include at least the arrival and departure times of each flight, the source and destination airports, the passenger capacity on that flight, the ticket cost, and the unique flight number
• Each flight must have a unique flight number (e.g. CA1234)
• Each plane should have a unique tail number
• A printed version of the timetable must also be available
• An interface for a passenger to look for a flight from airport A to airport B must also be provided (project part 2)
• In French and English
• Account for Daylight Savings time

Specifications

• Passengers can fly from any airport to any other airport
• Airplanes may start at any airport
• Account for flights that are non-stop or have multiple stops between the source and destination airports
• Planes must start the next day at the same airport they ended at the previous day

Examples of Airport Timetables

• FlightAware
• FlightRader24
• Hong Kong Airport
• JFK Airport

Genetic Algorithms

• The Knapsack Problem
• Genetic Algorithms
• Monte Carlo Method
• Mastering Python Genetic Algorithms

Genetic Algorithms Libraries

• PyGAD: open-source Python 3 library for building genetic algorithms
• Pandas: provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive

Automatic Timetable Generation using Genetic Algorithms

• Automatic Timetable Generation using Genetic Algorithm
• Automated Timetable Generation using Genetic Algorithm
• Automatic Timetable Generator Using Genetic Algorithm
• Automatic Timetable Generator Using Genetic Algorithm

Group Questions

Foobar.