Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/53062
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | A Kamal Prakash | |
dc.date.accessioned | 2013-05-29T08:45:59Z | |
dc.date.available | 2013-05-29T08:45:59Z | |
dc.date.copyright | 2013 | en_US |
dc.date.issued | 2013 | |
dc.identifier.uri | http://hdl.handle.net/10356/53062 | |
dc.description.abstract | ABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of using the intelligence of swarm bees. The ABC algorithm mimics foraging and dance behaviours of real bee colonies. It has high performance and success for numerical optimization problems. Although the exploration of solution of ABC algorithm is good, exploitation to found food sources is very bad. In this report the student analyses the ABC algorithm in detail, discusses the advantages and disadvantages of the ABC algorithm compared to other programs and the ABC algorithm implemented in Matlab programming to solve real parameter optimization problems. The results and graphs are discussed and future recommendations are also advised on the project. | en_US |
dc.format.extent | 45 p. | en_US |
dc.language.iso | en | en_US |
dc.rights | Nanyang Technological University | |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering | en_US |
dc.title | Artificial Bee Colony (ABC) algorithm | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Ponnuthurai Nagaratnam Suganthan | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
eA4122 121.pdf Restricted Access | Main article | 5.54 MB | Adobe PDF | View/Open |
Page view(s) 1
3,939
Updated on Apr 28, 2025
Download(s)
18
Updated on Apr 28, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.