Comparison between MOEA/D and NSGA-III on a set of many and multi-objective benchmark problems with challenging difficulties
Currently, evolutionary multiobjective optimization (EMO) algorithms have been successfully used to find a good approximation of many-objective optimization problems (MaOPs). To measure the performance of EMO algorithms, many benchmark multiobjective test problems have been constructed. Among them,...
Saved in:
Main Authors: | Li, Hui, Deb, Kalyanmoy, Zhang, Qingfu, Suganthan, Ponnuthurai Nagaratnam, Chen, Lei |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/151704 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
MOEA Toolbox for Computer Aided Multi-Objective Optimization
by: Tan, K.C., et al.
Published: (2014)
by: Tan, K.C., et al.
Published: (2014)
Similar Items
-
ISDE+ — an indicator for multi and many-objective optimization
by: Pamulapati, Trinadh, et al.
Published: (2020) -
Objective reduction in many-objective optimization : evolutionary multiobjective approaches and comprehensive analysis
by: Yuan, Yuan, et al.
Published: (2020) -
A new decomposition-based NSGA-II for many-objective optimization
by: Elarbi, Maha, et al.
Published: (2020) -
Delving deep into many-to-many attention for few-shot video object segmentation
by: CHEN, Haoxin, et al.
Published: (2021) -
Autecology of the sunda pangolin (Manis javanica) in Singapore
by: LIM T-LON, NORMAN
Published: (2011)