SCHOOL OF COMPUTER SCIENCE
The School of Computer Science at the University of Windsor is pleased to present…
MSc Thesis Proposal by: Padma-Priya Kondepudi
Date: Tuesday, April 30th, 2019
Time: 10: 30 am – 12:00 pm
Location: 3105, Lambton Tower
Abstract:
With the advancement of robotics and intelligent technologies path planning has become an important area of focus. It has extended its roots and paved way to more improvements over time. Ant Colony Optimization and Genetic Algorithm are a part of the evolutionary approaches in path planning. The algorithms have evolved over generations enhancing the performance with optimistic solutions. This research work is focused to work on combining IGA (Improved Genetic Algorithm) with MMAS (Max-Min Ant System) method and comparing it with the combination of MMAS-IGA. Many previous works suggested and demonstrated a productive result obtained from combining the path planning algorithms with improved traditional algorithms. This work is going to focus on future scalability and adaptability to different environments of the proposed methods. Simulations will be performed in MATLAB environment for generation of different grid environments with obstacles and a comparative result would be provided, demonstrating the outputs with other traditional algorithms and combined methodologies of previous work.
Thesis Committee:
Internal Reader: Dr. Sherif Saad Ahmed
External Reader: Dr. Esam-Abdel Raheem
Advisor: Dr. Dan Wu