CAJ | 학술논문

针对中心引力优化算法易陷入局部最优这一不足,加强算法的全局寻优能力,提出一种改进的中心引力优化算法,根据差分算法本身的固有特性,通过引入差分进化算子对当前粒子位置的分量进行变异,促使算法摆脱局部最优,增强算法的全局收敛性.最后选取5个经典函数对算法进行测试,并与其他算法进行比较分析,结果证明算法的精度得到了明显提高,从而验证了该算法的有效性和可行性.
침대중심인력우화산법역함입국부최우저일불족,가강산법적전국심우능력,제출일충개진적중심인력우화산법,근거차분산법본신적고유특성,통과인입차분진화산자대당전입자위치적분량진행변이,촉사산법파탈국부최우,증강산법적전국수렴성.최후선취5개경전함수대산법진행측시,병여기타산법진행비교분석,결과증명산법적정도득도료명현제고,종이험증료해산법적유효성화가행성.
In order to avoid obtaining local optimal solution of central force optimization algorithm, strengthen the ability of searching, a new algorithm is proposed based on differential evolution algorithm. According to the characteristics of differential evolution algorithm, differential evolution operator mutation is introduced to mutate the component of particle and reduce the possibility of trapping in the local optimum and to improve the convergence speed of global searching. Using 5 classic benchmark functions to test, simulation results show that, compared with several other algorithms, the precision of the new algorithm is remarkably improved, therefore the effectiveness and feasibility of the algorithm is proved correct.