Chaotic krill herd optimization algorithm

Saremi, Shahrzad, Mirjalili, Seyed Mohammad and Mirjalili, Seyedali (2014). Chaotic krill herd optimization algorithm. In: Liviu Moldovan, 7th International Conference Interdisciplinarity in Engineering (Inter-Eng 2013). 7th International Conference on Interdisciplinarity in Engineering (INTER-ENG), Tirgu Mures, Romania, (180-185). 10-11 October 2013. doi:10.1016/j.protcy.2013.12.473

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Saremi, Shahrzad
Mirjalili, Seyed Mohammad
Mirjalili, Seyedali
Title of paper Chaotic krill herd optimization algorithm
Conference name 7th International Conference on Interdisciplinarity in Engineering (INTER-ENG)
Conference location Tirgu Mures, Romania
Conference dates 10-11 October 2013
Proceedings title 7th International Conference Interdisciplinarity in Engineering (Inter-Eng 2013)   Check publisher's open access policy
Journal name Procedia Technology   Check publisher's open access policy
Place of Publication Amsterdam, Netherlands
Publisher Elsevier
Publication Year 2014
Sub-type Fully published paper
DOI 10.1016/j.protcy.2013.12.473
Open Access Status DOI
ISSN 2212-0173
Editor Liviu Moldovan
Volume 12
Start page 180
End page 185
Total pages 6
Language eng
Abstract/Summary The Krill Herd (KH) optimization algorithm is one of the most recent heuristic optimization techniques. This algorithm mimics the lifecycle of krill in oceans. Despite high performance of KH, stagnation in local optima and slow convergence speed are two probable problems in solving challenging optimization problems. This work enhances the performance of the KH algorithm by the chaos theory. To be exact, three one-dimensional chaotic maps (Circle, Sine, and Tent) are integrated into KH. The results prove that the proposed chaotic KH algorithms are able to show superior results compared to KH in terms of local optima avoidance and convergence speed.
Keyword Chaos theory
Chaotic maps
Particle Swarm Optimization
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 28 times in Thomson Reuters Web of Science Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 08 Jun 2014, 10:02:44 EST by System User on behalf of Faculty Of Engineering, Architecture & Info Tech