Tuesday, April 9, 2019 - 11:00 to 12:00
The School of Computer Science at the University of Windsor is pleased to present …
MSc Thesis Proposal by:
Ramya Ravichandran
Date: Tuesday, April 9th, 2019
Time: 11: 00 am – 12:00 pm
Location: Lambton Tower, Room 3105
Abstract:
In complex systems, the significance of dynamic multi-objective optimization problems (DMOPs) is on the rise. These problems have several objective functions and constraints that vary over time and considered simultaneously. As a result, the Pareto optimal solutions (POS) and Pareto front (PF) will also vary with time. I am going to propose a combined approach of Cultural Algorithm (CA) based on decomposition (CA/D). The objective of the CA/D algorithm is to decompose DMOP into a number of scalar optimization subproblems and solve simultaneously. All the subproblems are optimized using the information shared only by its neighboring problems. The proposed CA/D is evaluated using a number of CEC 2015 optimization benchmark functions. The results show that CA/D outperforms CA, Multi-population CA (MPCA), and MPCA incorporating game strategies (MPCA-GS) particularly in hybrid and composite benchmark functions.
Thesis Committee:
Internal Reader: Dr. Saeed Samet
External Reader: Dr. Kemal Tepe
Advisor: Dr. Ziad Kobti
Thesis Proposal Announcement
5113 Lambon Tower, 401 Sunset Avenue, Windsor ON., N9B 3P4, (519) 253-3000 Ext. 3716, csgradinfo@uwindsor.ca
(519)253-3000