Ensemble of mutation strategies in evolutionary programming
Evolutionary programming (EP) has been applied to solve many numerical global optimization problems successfully during the past four decades. The ability of the algorithm to seach for global optimum depends on the mutation strategy adapted. During the last four decades several mutation operators su...
Saved in:
Main Author: | Mallipeddi Sireehsa. |
---|---|
Other Authors: | Ponnuthurai Nagaratnam Suganthan |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/18818 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Ensemble strategies with evolutionary programming and differential evolution for solving single objective optimization problems
by: Mallipeddi Rammohan.
Published: (2010) -
Adaptive evolutionary programming with p-best mutation strategy
by: Das, Swagatam., et al.
Published: (2013) -
Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection
by: Chen, Zhaomin, et al.
Published: (2019) -
Mining evolutionary network of influenza viruses : pipeline for co-mutational analysis of influenza viruses’ sequences
by: Lim, Chun Wei
Published: (2019) -
Evolutionary computation for financial engineering
by: Kapoor, Mrinal.
Published: (2009)