Group leaders optimization algorithm
Group leaders optimization algorithm
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DOI：
10.1080/00268976.2011.552444
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发表时间：
2010-04
影响因子：
1.7
通讯作者：
Anmer Daskin;S. Kais
中科院分区：
文献类型：
--
作者：
Anmer Daskin;S. Kais
我们提出了一种新的全局优化算法，该算法利用社会群体中领导者的影响力作为进化技术的灵感，并将其设计成群体体系结构。为了证明该方法的有效性，给出了一组标准的一维和多维优化函数以及Lennard-Jones团簇的能量和几何结构，并给出了该算法在量子电路设计问题中的应用。我们表明，作为对以前方法的改进，对于N粒子的Lennard-Jones簇，该算法的尺度为N2.5。此外，还给出了两量子比特Grover搜索算法的有效电路设计，该算法是一种量子算法，与经典算法相比具有二次加速比。
We present a new global optimization algorithm in which the influence of the leaders in social groups is used as an inspiration for the evolutionary technique which is designed into a group architecture. To demonstrate the efficiency of the method, a standard suite of single and multi-dimensional optimization functions along with the energies and the geometric structures of Lennard-Jones clusters are given as well as the application of the algorithm on quantum circuit design problems. We show that as an improvement over previous methods, the algorithm scales as N 2.5 for the Lennard-Jones clusters of N-particles. In addition, an efficient circuit design is shown for a two-qubit Grover search algorithm which is a quantum algorithm providing quadratic speedup over the classical counterpart.