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MSc Thesis Proposal Announcement by Nimish Verma: "Multi-Objective Multi-Population Optimization Algorithm based on Grey Wolf Optimization"

Friday, July 17, 2020 - 12:00 to 14:00


The School of Computer Science is pleased to present…

MSc Thesis Proposal by:  Nimish Verma

Date: Friday July 17,2020
Time:  12:00pm-2:00pm


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

Thesis Committee:

Internal Reader: Dr. Saeed Samet     
External Reader: Dr. Roozbeh Razavi-Far
Advisor:Dr. Pooya Moradian Zadeh, Dr. Ziad Kobti

MSc Thesis Proposal Announcement Vector Institute approved AI seminar logo

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