量子行为花授粉算法

2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-18 DOI:10.1109/DCABES.2015.24

Kezhong Lu, Hai-bo Li

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引用次数: 9

摘要

花卉授粉算法(Flower Pollination algorithm, FPA)是一种基于开花植物特性的自然启发算法。本文提出了一种新的混合优化方法——量子行为授粉算法(QFPA)。该方法将标准的花授粉算法(FPA)与量子搜索机制相结合，提高了全局搜索能力和精度。仿真实验表明，所提出的QFPA算法能有效提高收敛速度和解的质量。

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Quantum-Behaved Flower Pollination Algorithm

Flower Pollination algorithm (FPA) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called quantum-behaved flower pollination algorithm (QFPA) is proposed. The method combines the standard Flower Pollination algorithm (FPA) with the quantum-behaved search mechanism to improve the global searching ability and accuracy. The simulation experiments show that the proposed QFPA algorithm can improve the convergence speed and the quality of solutions effectively.

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2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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