A comparative evaluation of swarm intelligence techniques for solving combinatorial optimization problems. (24th May 2017)
- Record Type:
- Journal Article
- Title:
- A comparative evaluation of swarm intelligence techniques for solving combinatorial optimization problems. (24th May 2017)
- Main Title:
- A comparative evaluation of swarm intelligence techniques for solving combinatorial optimization problems
- Authors:
- Odili, Julius
Kahar, Mohd Nizam Mohmad
Noraziah, A
Kamarulzaman, Syafiq F - Abstract:
- This article presents a critical evaluation of swarm intelligence techniques for solving combinatorial optimization problems. Since, unarguably, the traveling salesman's problem is the most developed, studied, and popular combinatorial problem, this study uses it as a benchmark. After a number of experimental investigations involving 24 popular but complex benchmark symmetric traveling salesman's problem instances and 15 asymmetric traveling salesman's problem of the 19 instances available in TSPLIB95, the African buffalo optimization proved to be the best algorithm in terms of efficiency and effectiveness in solving the problems under investigation.
- Is Part Of:
- International journal of advanced robotic systems. Volume 14:Number 3(2017:May/Jun.)
- Journal:
- International journal of advanced robotic systems
- Issue:
- Volume 14:Number 3(2017:May/Jun.)
- Issue Display:
- Volume 14, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 14
- Issue:
- 3
- Issue Sort Value:
- 2017-0014-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-05-24
- Subjects:
- Swarm intelligence techniques -- combinatorial optimization -- traveling salesman's problems
Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- http://arx.sagepub.com/ ↗
http://search.epnet.com/direct.asp?db=bch&jid=13CR&scope=site ↗
http://www.intechweb.org/journal.php?id=3 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1729881417705969 ↗
- Languages:
- English
- ISSNs:
- 1729-8806
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8194.xml