Journal
7TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2013)
Volume 12, Issue -, Pages 180-185Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.protcy.2013.12.473
Keywords
chaos theory; optimization; chaotic maps; KH; heuristics
Ask authors/readers for more resources
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. (C) 2013 The Authors. Published by Elsevier Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available