Spiral Multipoint Search for Global Optimization

K. Tamura, K. Yasuda
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引用次数: 29

Abstract

Metaheuristics is a framework of practical methods for global optimization problems. We recently proposed a new metaheuristics method inspired from spiral phenomena in nature which is called spiral optimization. However, the spiral optimization was restricted to 2-dimensional continuous optimization problems. In this paper, we develop a spiral optimization method for n-dimensional continuous optimization problems by constructing an n-dimensional spiral model. The n-dimensional spiral model is designed using rotation matrices in n-dimensional space. Simulation results for different benchmark problems show the effectiveness of our proposal compared to PSO and DE.
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全局优化的螺旋多点搜索
元启发式是解决全局优化问题的实用方法框架。我们最近提出了一种新的元启发式方法,灵感来自于自然界的螺旋现象,称为螺旋优化。然而,螺旋优化仅限于二维连续优化问题。本文通过构造一个n维螺旋模型,提出了求解n维连续优化问题的螺旋优化方法。利用n维空间中的旋转矩阵设计了n维螺旋模型。不同基准问题的仿真结果表明,与粒子群算法和粒子群算法相比,本文提出的算法是有效的。
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