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Spiral Dynamics Inspired Optimization

Kenichi Tamura and Keiichiro Yasuda

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

Received: March 4, 2011

Accepted: July 15, 2011

Keywords: metaheuristics, spiral phenomena, multipoint search, global optimization, evolutionary computation

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No.8 pp. 1116-1122, 2011


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.
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