CAJ | 학술논문

针对人工蜂群算法存在的收敛速度慢、易陷入局部最优的缺点，利用变异方法来取代传统的选择模型。对4个标准测试函数的仿真表明本文提出的随机选择算法不仅能延长算法的收敛速度还能在算法的精度上有着明显的提高，改进后的性能明显优于人工蜂群算法。
침대인공봉군산법존재적수렴속도만、역함입국부최우적결점，이용변이방법래취대전통적선택모형。대4개표준측시함수적방진표명본문제출적수궤선택산법불부능연장산법적수렴속도환능재산법적정도상유착명현적제고，개진후적성능명현우우인공봉군산법。
In view of the convergence speed of the artificial bee colony algorithm is slow, easy to fall into local optimum,using variation method to replace the traditional choice model. The simulation on 4 benchmark functions show that the random selec-tion algorithm is proposed in this paper can not only extend the algorithm greatly the convergence speed can be significantly im-proved in the accuracy of the algorithm, the improved performance is obviously better than the existing artificial bee colony algo-rithm.