詳情
識別號
stcompfyp:80
題名
Improved adaptive global replacement scheme for MOEA/D-AGR
作品類型
Final Year Project/Work
系列 / 集 / 庫
S&T Best Computing Projects
創建者
Tam, Hiu Hin 譚曉軒 (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
學院 / 部門
School of Science and Technology (S&T) 
課程
Bachelor of Science with Honours in Internet Technology
日期
2016
摘要
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.
資料類型
PDF
語言
English
資料描述
3 pages.
獎項
1st runner-up, Final Year Project (FYP) Competition (13th), 2016 (IEEE(HK) Computational Intelligence Chapter, Institute of Electrical and Electronics Engineers Hong Kong Section)
關鍵字
algorithms; MOEA/D-AGR; local search; Simulated annealing (SA); fuzzy logic; Evolutionary Multi-Objective Simulated Annealing (EMOSA)
存取限制
Public Access
固定連結