Spiral optimization -A new multipoint search method
Spiral optimization -A new multipoint search method
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DOI：
10.1109/icsmc.2011.6083926
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
K. Tamura;K. Yasuda
中科院分区：
文献类型：
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作者：
K. Tamura;K. Yasuda
最近，我们在元层次学中提出了一种新的多点搜索方法，这种方法基于自然界中螺旋现象的类比，只适用于二维连续优化问题，称为二维螺旋优化。自然界中经常出现的聚焦螺线现象可以近似为对数螺线。二维螺旋优化利用对数螺旋的特征。在本文中，我们提出了n维螺旋优化的扩展2维。基于在n维空间中定义的旋转矩阵构造n维螺旋模型。对各种基准问题的仿真结果表明，与其他元分析方法相比，所提出的方法是有效的。
Recently we proposed a new multipoint search method in metahuristics for only 2-dimensional continuous optimization problems based on analogy of spiral phenomena in nature which is called 2-dimensional spiral optimization. The focused spiral phenomena which appear frequently in nature are approximated to logarithmic spirals. The 2-dimensional spiral optimization utilizes a feature of logarithmic spirals. In this paper, we propose n-dimensional spiral optimization by extending 2-dimensional one. The n-dimensional spiral model is constructed based on rotation matrices defined in n-dimensional space. Simulation results for various benchmark problems show effectiveness of the proposed method in comparison with other metaheuristics.