文献类型：会议论文

英文题名：A novel hybrid-genetic-algorithm process applied in blood-glucose soft sensing

作者：Dongping Ma[1]; Xuan Wang[1]; Hui Cao[1]; Heping Hang[1]; Yuzhang Han[2]; Jianguo Han[2]

机构：[1] Biochem. Eng. Coll., Beijing Union Univ., Beijing, China; [2] Inst. of Sci. Comput., Univ. of Vienna, Vienna, Austria

第一机构：北京联合大学生物化学工程学院

会议日期：6-7 March 2010

会议地点：Wuhan, China

语种：英文

外文关键词：biochemistry - bioinformatics - blood - embedded systems - field programmable gate arrays - genetic algorithms - genetics - grid computing - sugar

摘要：A novel hybrid-genetic-algorithm process in multi-objective parallel mode (NHMGA), operated for tracking a 2-period-BP model-mapping, supported by optimally equipped Grid-computing framework, is proposed. This NHMGA is specially designed for personal on-line and real-time bio-information modeling which is successfully applied in soft-sensing of blood-glucose. The related application example and its result analysis are described. Owing to the non-invasive soft-sensing based on the NHMGA which possesses the advantages, such as resource-sharing, high speed and accuracy of function approach, flexible real-time model-tracking, the number of blood-taking-times of every patient with serious diabetes can be reduced onto 30% of the original one per day, thus the on-line-diagnosis-medical-measurement based on the NHMGA is very strongly valued in Asia and Europe, and sequentially developed in the CAD-grid (CAD-G) 2# (“China-Austria-Data-Grid”-cooperation-project) which supports the NHMGA using a Grid-computing framework optimally equipped by workflow engine WEEP, and CEFSP 200805# (Chinese Education Foundation Science Project) which developed the NHMGA tool-software realized in a PC-embedded-FPGA-system (PEF) , thus, the NHMGA is facing a wide application future linked with the fields such as real-time tracking, analyzing, diagnosis and control of bio-information process, industrial automation process, natural synusiologic process.