This project optimizes airline crew scheduling using mixed-integer programming, addressing objectives like maximizing flights, minimizing deadhead flights, reducing backup qualification use, and c…

Solving Air Crew Scheduling Problems using Simulated Annealing and Genetic Algorithms

Air Crew Scheduling Optimization using Genetic Algorithms & Simulated Annealing Solving the Air Crew Scheduling Problem using Standard & Improved Binary Genetic Algorithms and Simulated Annealing

Testing the effectiveness of Simulatedimulated Annealing (SA), Standard Binary Genetic Algorithm (BGA) and Improved Binary Genetic Algorithm (Improved BGA) for solving the airline Crew Scheduling S…

The project is to understand the problem faced by aviation industry while deciding optimal schedules for its operation and try to generate feasible solutions for it.

crew scheduling experiments - column generation, mpc, set cover, etc