JACIII Vol.15 No.8 pp. 1116-1122
doi: 10.20965/jaciii.2011.p1116


Spiral Dynamics Inspired Optimization

Kenichi Tamura and Keiichiro Yasuda

Tokyo Metropolitan University, 1-1 Minamiosawa, Hachioji, Tokyo 192-0397, Japan

March 4, 2011
July 15, 2011
October 20, 2011
metaheuristics, spiral phenomena, multipoint search, global optimization, evolutionary computation
We recently proposed a new multipoint search method for 2-dimensional continuous optimization problems based on an analogy of spiral phenomena called 2-dimensional spiral optimization. Focused spiral phenomena, which appear frequently in nature, are approximated to logarithmic spirals. Two-dimensional spiral optimization used a feature of logarithmic spirals. In this paper, we propose n-dimensional spiral optimization by extending the 2-dimensional one. The n-dimensional spiral model is constructed based on rotation matrices defined in n-dimensional space. Simulation results for different benchmark problems show the effectiveness of our proposal compared to other metaheuristics.
Cite this article as:
K. Tamura and K. Yasuda, “Spiral Dynamics Inspired Optimization,” J. Adv. Comput. Intell. Intell. Inform., Vol.15 No.8, pp. 1116-1122, 2011.
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