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。
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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