A Quantum-Inspired Hybrid Evolutionary Method
نویسندگان
چکیده
The quantum evolutionary algorithm is based on the quantum superposition state and the quantum computing. Compared to the traditional evolutionary algorithm, QEA has great global search ability; however, its complexity limits the operational ability and the efficiency, at the same time, its local search ability is relatively poor. In this paper, the author presents an improved hybrid intelligent algorithm based on the quantum evolution algorithm, which is ameliorated from the mechanism of quantum evolutionary algorithm in order to construct a new improved hybrid quantum evolutionary algorithm (I-HQEA). Simulation results show that the new algorithm can heighten its efficiency and accuracy effectively. Key-Words: quantum evolutiaonry algorithm, quantum computing, improved hybrid quantum evolutinary algorithm, niche strategy, dynamic adjustment
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