Application of Quantum Genetic Algorithm in Test Data Generation
Quantum Genetic Algorithm (QGA) is a new probability optimization method which is based on quantum computing theory. Based on the concept and principles of quantum computing such as qubits and superposition of states, QGA can represent a linear superposition of solutions due to its probabilistic representation which adopts qubit chromosome as a representation. For its rapid convergence and global search capability, it is paid more and more attention these days. In this paper, it is applied into test data generation. And experiments show the efficiency of the method.
quantum computing Quantum Genetic Algorithm test data generation
Qi Zhou Shujuan Jiang
School Of Computer Science and Technology China University of Mining and Technology Jiangsu Xuzhou
国际会议
太原
英文
78-81
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）