In this paper, a frame of quantum evolutionary algorithm is presented by the combining of quantum theory with evolutionary theory. Its algorithms are given in detail and their convergences are proved.
本文研究了一种将进化算法和量子理论结合的量子进化算法，提出了它的理论框架，证明了其收敛性，并讨论了它的应用。
参考来源 - 量子进化算法的研究及其应用·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper we present a hybrid parallel quantum evolutionary algorithm (PQEA) based on cost minimization technique for edge detection.
本文基于费用函数最小化方法，提出一种混合并行量子进化算法用于文本图像的边缘检测。
The algorithm is based on the combination of quantum evolutionary algorithm (QEA) and ant colony system (ACS), a new algorithm, quantum ant colony algorithm (QACA) is proposed.
将量子群进化算法(QEA)与蚁群系统(acs)进行融合，提出一种新的量子蚁群算法(QACA)。
Quantum Inspired Evolutionary Algorithm (QEA) is a type of evolutionary algorithm based on principles of Quantum Computing (QC).
量子衍生进化算法是基于量子计算原理的一种进化算法。
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