Comprehensive comparison of convergence performance of optimization algorithms based on nonparametric statistical tests
In evolutionary computation, statistical tests are commonly used to improve the comparative evaluation process of the performance of different algorithms. In this paper, three state-of-the-art Differential Evolution (DE) based algorithms, namely Dynamic Memetic Differential Evolution (MOS), Self-ada...
Saved in:
Main Authors: | Suganthan, P. N., Zhao, Shi-Zheng. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/84518 http://hdl.handle.net/10220/12040 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Comprehensive study of optimization algorithms at power electronics
by: Wu, Yinghao
Published: (2020) -
Comprehensive modeling and optimization of high-performance vernier machines
by: Zhu, Jingwei
Published: (2023) -
An expert system on selection of appropriate nonparametric statistical tests
by: Sipin, Grace C.
Published: (1996) -
Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood sizes
by: Suganthan, P. N., et al.
Published: (2013) -
An improved multi-objective optimization algorithm based on fuzzy dominance for risk minimization in biometric sensor network
by: Nasir, M., et al.
Published: (2013)