Friday, July 17, 2020 - 12:00 to 14:00
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
MSc Thesis Proposal by: Nimish Verma
Date: Friday July 17,2020
Zoom URL: https://zoom.us/j/98397111606?
This thesis proposes a new meta-heuristic optimization multi-population algorithm based on Grey Wolf Optimization (GWO) for multi-objective problems. Our proposed algorithm introduces a parallel and co-operative multi-population structure which resembles the hierarchy in grey wolves. The populations are divided based on their fitness scores and are evolved using a modified version of GWO. We introduce a mutation operator and an elite group to further improve the convergence and diversity of the algorithm. The proposed model is initially tested for single-objective problems. The proposed algorithm in this thesis is benchmarked on CEC 2009 test suite for bi-objective problems.
Keywords: Optimization, Evolutionary Algorithm, Multi Objective, Pareto Dominance, Multi Population
Internal Reader: Dr. Saeed Samet
External Reader: Dr. Roozbeh Razavi-Far
Advisor:Dr. Pooya Moradian Zadeh, Dr. Ziad Kobti
MSc Thesis Proposal Announcement
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 email@example.com