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https://doi.org/10.14257/ijdta.2016.9.3.08
Copy DOIPublication Date: Mar 31, 2016 | |
Citations: 2 |
Generation of detection data is the most key technology at detection stage with some practical significance to improve the detection automation degree of software. Although certain achievements have been made in introducing monkey algorithm into the detection process, the algorithm itself has defects like being easy to fall into local optimum and rapid convergence speed, etc. This paper first introduces chaos algorithm and reverse learning to initialize the initial position of monkey swarms, and then makes improvement to the scrawling, watching and hopping process of monkey algorithm so as to increase the convergence precision of improved algorithm. Simulation experiments show that compared with genetic algorithm and algorithm in this paper, particle swarm algorithm and ant colony optimization has made significant progress.
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