Details
Record ID
stcompfyp:80
Title
Improved adaptive global replacement scheme for MOEA/D-AGR
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Tam, Hiu Hin 譚曉軒 (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
School / Unit
School of Science and Technology (S&T) 
Program
Bachelor of Science with Honours in Internet Technology
Date
2016
Abstract
MOEA/D-AGR, the new replacement scheme only concerns the one-way convergence of the objective solutions among all sub-problems. In this final year project, the original MOEA/D-AGR algorithm will be improved by alternating the adaptive mechanism to handle the case mentioned above.
Type of Resource
PDF
Language
English
Physical Description
3 pages.
Awards
1st runner-up, Final Year Project (FYP) Competition (13th), 2016 (IEEE(HK) Computational Intelligence Chapter, Institute of Electrical and Electronics Engineers Hong Kong Section)
Keywords
algorithms; MOEA/D-AGR; local search; Simulated annealing (SA); fuzzy logic; Evolutionary Multi-Objective Simulated Annealing (EMOSA)
Access Eligibility
Public Access
Permanent Link