SUGANDHA SHARMA
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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.
Cost vs Iterations
Cost vs Average Time
Click below to download the above report:
project_report.pdf
File Size: 1412 kb
File Type: pdf
Download File


Algorithms and data structures

Implemented the following projects using C++

Project 1: 
  1. Doubly Linked List
  2. Doubly Linked Node

Project 2: 
  1. Dynamic Dual Stack.
  2. Linked Queue.

Project 3: 
  1. Tree
  2. Tree node

Project 4:
  1. Double Hash Table
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  • Home
  • CV
  • Industry Experience
    • AMD
    • Nvidia
    • BlackBerry
    • Phoenix Interactive Design
    • Christie Digital Systems
  • Awards
  • Other
  • Journal Club