Machine Learning - Adaptive and cooperative algorithms
Solved Fleet Scheduling Problem Using META-HEURISTIC Algorithms
Aircraft Fleet scheduling is at the core of enabling growth, increasing revenue, maintaining customer and
employee satisfaction in the airline industry. Every airline thus aims to optimize its airline schedule in a
way to make optimal use of resources while minimizing cost and maximizing profit. Many strategies exist
to minimize the operational costs, one such strategy is called the fleet assignment problem. The main
purpose of the project was to analyse the fleet assignment problem using adaptive algorithms and the
knowledge of artificial intelligence. The main goal was to optimize the problem of assigning aircrafts to
routes in order to meet with demands and minimize costs. All the code for this project was written in Matlab.
employee satisfaction in the airline industry. Every airline thus aims to optimize its airline schedule in a
way to make optimal use of resources while minimizing cost and maximizing profit. Many strategies exist
to minimize the operational costs, one such strategy is called the fleet assignment problem. The main
purpose of the project was to analyse the fleet assignment problem using adaptive algorithms and the
knowledge of artificial intelligence. The main goal was to optimize the problem of assigning aircrafts to
routes in order to meet with demands and minimize costs. All the code for this project was written in Matlab.
Click below to download the above report:
| project_report.pdf |
Algorithms and data structures
Implemented the following projects using C++
Project 1:
Project 2:
Project 3:
Project 4:
Project 1:
- Doubly Linked List
- Doubly Linked Node
Project 2:
- Dynamic Dual Stack.
- Linked Queue.
Project 3:
- Tree
- Tree node
Project 4:
- Double Hash Table
