his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evolving Cuckoo Search: From single-objective to multi-objective
University of Skövde, School of Technology and Society.
2011 (English)Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

This thesis aims to produce a novel multi-objective algorithm that is based on Cuckoo Search by Dr. Xin-She Yang. Cuckoo Search is a promising nature-inspired meta-heuristic optimization algorithm, which currently is only able to solve single-objective optimization problems. After an introduction, a number of theoretical points are presented as a basis for the decision of which algorithms to hybridize Cuckoo Search with. These are then reviewed in detail and verified against current benchmark algorithms to evaluate their efficiency.

To test the proposed algorithm in a new setting, a real-world combinatorial problem is used. The proposed algorithm is then used as an optimization engine for a simulation-based system and compared against a current implementation. 

Place, publisher, year, edition, pages
2011. , 53 p.
Keyword [en]
cuckoo search, evolutionary algorithms, meta-heuristic optimization algorithm
National Category
Robotics
Identifiers
URN: urn:nbn:se:his:diva-5309OAI: oai:DiVA.org:his-5309DiVA: diva2:445763
Subject / course
Automation Engineering
Educational program
Industrial Informatics - Master's Programme
Presentation
(English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-11-14 Created: 2011-10-05 Last updated: 2012-11-14Bibliographically approved

Open Access in DiVA

fulltext(1983 kB)1366 downloads
File information
File name FULLTEXT01.pdfFile size 1983 kBChecksum SHA-512
403d2e402e2e863f7ab2ece3c55e6602921e9925061a5b7c5e92f523c040f3e3b2005a1c391b31e4ea211531a1b15cedf185785719a4da3aea2e3a8716c23f99
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Lidberg, Simon
By organisation
School of Technology and Society
Robotics

Search outside of DiVA

GoogleGoogle Scholar
Total: 1366 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 291 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf