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
Workflow system has become a standard solution for managing a complex business process.How to guarantee its correctness is a key requirement.Many methods only focus on the control-flow verification,while they neglect ...Workflow system has become a standard solution for managing a complex business process.How to guarantee its correctness is a key requirement.Many methods only focus on the control-flow verification,while they neglect the modeling and checking of data-flows.Although some studies are presented to repair the data-flow errors,they do not consider the effect of delete operations or weak circulation relations on the repairing results.What’s more,repairing some data-flow errors may bring in new errors.In order to solve these problems,we use workflow net with data(WFD-net)systems to model and analyze a workflow system.Based on weak behavioral relations and order relations in a WFD-net system,we formalize four kinds of data-flow errors.After then,we reveal the relations between these errors and organize them into a hierarchy.Furthermore,we propose some new methods to repair data-flow errors in a WFD-net system based on system requirements and repair strategies.Finally,a case study of campus-card recharging shows the applicability of our methods,and a group of experiments show their advantages and effectiveness.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.
基金supported in part by the Shanghai Science and Technology Innovation Action Plan(Grant No.19511101300)in part by the Key Laboratory of EMBEDded System and Service Computing(Ministry of Education)(Grant Nos.ESSCKF201902 and ESSCKF202102)in part by the National Nature Science Foundation of China(Grant Nos.62172299 and 62032019).
文摘Workflow system has become a standard solution for managing a complex business process.How to guarantee its correctness is a key requirement.Many methods only focus on the control-flow verification,while they neglect the modeling and checking of data-flows.Although some studies are presented to repair the data-flow errors,they do not consider the effect of delete operations or weak circulation relations on the repairing results.What’s more,repairing some data-flow errors may bring in new errors.In order to solve these problems,we use workflow net with data(WFD-net)systems to model and analyze a workflow system.Based on weak behavioral relations and order relations in a WFD-net system,we formalize four kinds of data-flow errors.After then,we reveal the relations between these errors and organize them into a hierarchy.Furthermore,we propose some new methods to repair data-flow errors in a WFD-net system based on system requirements and repair strategies.Finally,a case study of campus-card recharging shows the applicability of our methods,and a group of experiments show their advantages and effectiveness.
