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摘要:
To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony optimization algorithm. In our method, the bees are encoded with the qubits described on the Bloch sphere. The classical bee colony algorithm is used to compute the rotation axes and rotation angles. The Pauli matrices are used to construct the rotation matrices. The evolutionary search is achieved by rotating the qubit about the rotation axis to the target qubit on the Bloch sphere. By measuring with the Pauli matrices, the Bloch coordinates of qubit can be obtained, and the optimization solutions can be presented through the solution space transformation. The proposed method can simultaneously adjust two parameters of a qubit and automatically achieve the best match between two adjustment quantities, which may accelerate the optimization process. The experimental results show that the proposed method is obviously superior to the classical one for some benchmark functions.
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篇名 Quantum-Inspired Bee Colony Algorithm
来源期刊 最优化(英文) 学科 数学
关键词 QUANTUM Computing BEE COLONY Optimizing BLOCH SPHERE ROTATING Algorithm Designing
年,卷(期) 2015,(3) 所属期刊栏目
研究方向 页码范围 51-60
页数 10页 分类号 O1
字数 语种
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研究主题发展历程
节点文献
QUANTUM
Computing
BEE
COLONY
Optimizing
BLOCH
SPHERE
ROTATING
Algorithm
Designing
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研究去脉
引文网络交叉学科
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期刊影响力
最优化(英文)
季刊
2325-7105
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
65
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0
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0
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