CAJ | 학술논문

提出一种改进的引力搜索算法,通过引入惯性质量加权因子,加快算法的收敛速度,通过引入遗传算法的变异算子,提高引力搜索算法的局部搜索能力并改善种群多样性, 解决了引力搜索算法的早熟收敛问题.在阵列孔径、阵元个数及阵元间隔约束一定的情况下, 对同心圆环阵进行稀布优化,以获得最低的峰值旁瓣电平,使旁瓣性能达到设计要求. 实验结果证明了该改进方法的可行性和有效性.
제출일충개진적인력수색산법,통과인입관성질량가권인자,가쾌산법적수렴속도,통과인입유전산법적변이산자,제고인력수색산법적국부수색능력병개선충군다양성, 해결료인력수색산법적조숙수렴문제.재진렬공경、진원개수급진원간격약속일정적정황하, 대동심원배진진행희포우화,이획득최저적봉치방판전평,사방판성능체도설계요구. 실험결과증명료해개진방법적가행성화유효성.
An improved gravitational search algorithm ( IGSA) is proposed in the paper.By introdu-cing the weighted factor of inertial mass, the convergence speed of the algorithm is accelerated, and by introducing the mutation factor of genetic algorithm, the local search capability and population diversity of GSA are improved, which solves the premature convergence problem well.Given determinate array aper-ture, array elements number and interval of the array elements, the sparse concentric rings array is opti-mized to obtain the lowest peak sidelobe level that meets the designing request.Simulation results prove the feasibility and efficiency of the proposed method.