Chaotic krill herd optimization algorithm
Procedia technology, Vol.12, pp.180-185
International Conference Interdisciplinarity in Engineering (INTER-ENG 2013), 7th (Tîrgu Mureş, Romania, 10-Oct-2013–11-Oct-2013)
2014
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.
- Chaotic krill herd optimization algorithm
- Shahrzad Saremi (Corresponding Author) - The University of QueenslandSeyed Mohammad Mirjalili (Author) - Shahid Beheshti UniversitySeyedali Mirjalili (Author) - Griffith University
- L Moldovan (Editor)
- Procedia technology, Vol.12, pp.180-185
- International Conference Interdisciplinarity in Engineering (INTER-ENG 2013), 7th (Tîrgu Mureş, Romania, 10-Oct-2013–11-Oct-2013)
- Elsevier BV
- 2014
- 10.1016/j.protcy.2013.12.473
- 2212-0173
- © 2013 The Authors. Published by Elsevier Ltd. Open access under CC BY-NC-ND license.
- School of Science, Technology and Engineering
- English
- 991258954902621
- Journal article
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