Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/47016
Title: | Self adaptive differential evolution | Authors: | Huang, Ling | Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2010 | Source: | Huang, L. (2010). Self adaptive differential evolution. Doctoral thesis, Nanyang Technological University, Singapore. | Abstract: | This thesis investigates a relatively new technique in the global optimization field, namely Differential Evolution (DE). A thorough literature survey is provided on the DE algorithm. This survey starts from DE's origin, goes through the basic mutation, crossover and selection operations, as well as the many variants that aim to improve the performance of the original DE, before ending with DE's real-life applications. | Description: | 194 p. | URI: | https://hdl.handle.net/10356/47016 | DOI: | 10.32657/10356/47016 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EEE_THESES_68.pdf | 23.19 MB | Adobe PDF | View/Open |
Page view(s)
424
Updated on Mar 28, 2024
Download(s) 10
351
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.