A dandelion algorithm(DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA,which might not be appropriate for all...A dandelion algorithm(DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA,which might not be appropriate for all optimization problems. A self-adapting and efficient dandelion algorithm is proposed in this work to lower the number of DA's parameters and simplify DA's structure. Only the normal sowing operator is retained;while the other operators are discarded. An adaptive seeding radius strategy is designed for the core dandelion. The results show that the proposed algorithm achieves better performance on the standard test functions with less time consumption than its competitive peers. In addition, the proposed algorithm is applied to feature selection for credit card fraud detection(CCFD), and the results indicate that it can obtain higher classification and detection performance than the-state-of-the-art methods.展开更多
在五轴联动数控加工中心中,由于液压托架升降系统受到多种因素的共同影响,多因素耦合导致控制系统无法选出关键因素进行补偿操作,控制过程过于复杂,动态响应能力差,提出轴联动数控加工中心液压托架升降伺服控制方法。通过随机森林算法(R...在五轴联动数控加工中心中,由于液压托架升降系统受到多种因素的共同影响,多因素耦合导致控制系统无法选出关键因素进行补偿操作,控制过程过于复杂,动态响应能力差,提出轴联动数控加工中心液压托架升降伺服控制方法。通过随机森林算法(Random Forest,RF)对影响液压托架升降性能的多种因素进行智能识别与约减,从众多因素中筛选出对升降系统性能有显著影响的关键因素,简化了控制因素的输入,减少了多因素的相互耦合作用。采用基于内模控制(Internal Model Control,IMC)与比例-积分-微分(Proportion-Integration-Differentiation,PID)控制相结合的复合控制策略,利用IMC的预测能力和PID的快速响应特性分析控制因素,有效提升了升降系统对动态变化的适应能力和抗干扰能力。为了进一步优化PID控制器的参数,引入蒲公英算法(Dandelion Algorithm,DA)进行全局优化,通过智能搜索算法找到最优的PID参数组合,提高了控制的稳定性和精度。试验结果表明,所提方法有效提高了液压托架升降伺服系统的控制效率、稳定性以及准确度。展开更多
基金supported by the Institutional Fund Projects(IFPIP-1481-611-1443)the Key Projects of Natural Science Research in Anhui Higher Education Institutions(2022AH051909)+1 种基金the Provincial Quality Project of Colleges and Universities in Anhui Province(2022sdxx020,2022xqhz044)Bengbu University 2021 High-Level Scientific Research and Cultivation Project(2021pyxm04)。
文摘A dandelion algorithm(DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA,which might not be appropriate for all optimization problems. A self-adapting and efficient dandelion algorithm is proposed in this work to lower the number of DA's parameters and simplify DA's structure. Only the normal sowing operator is retained;while the other operators are discarded. An adaptive seeding radius strategy is designed for the core dandelion. The results show that the proposed algorithm achieves better performance on the standard test functions with less time consumption than its competitive peers. In addition, the proposed algorithm is applied to feature selection for credit card fraud detection(CCFD), and the results indicate that it can obtain higher classification and detection performance than the-state-of-the-art methods.
文摘在五轴联动数控加工中心中,由于液压托架升降系统受到多种因素的共同影响,多因素耦合导致控制系统无法选出关键因素进行补偿操作,控制过程过于复杂,动态响应能力差,提出轴联动数控加工中心液压托架升降伺服控制方法。通过随机森林算法(Random Forest,RF)对影响液压托架升降性能的多种因素进行智能识别与约减,从众多因素中筛选出对升降系统性能有显著影响的关键因素,简化了控制因素的输入,减少了多因素的相互耦合作用。采用基于内模控制(Internal Model Control,IMC)与比例-积分-微分(Proportion-Integration-Differentiation,PID)控制相结合的复合控制策略,利用IMC的预测能力和PID的快速响应特性分析控制因素,有效提升了升降系统对动态变化的适应能力和抗干扰能力。为了进一步优化PID控制器的参数,引入蒲公英算法(Dandelion Algorithm,DA)进行全局优化,通过智能搜索算法找到最优的PID参数组合,提高了控制的稳定性和精度。试验结果表明,所提方法有效提高了液压托架升降伺服系统的控制效率、稳定性以及准确度。
