基于蛋白质分泌机制的水污染扩散问题的演化博弈计算分析  

Analysis of the evolutionary game calculation for the problem of water pollution proliferation based on the mechanism of protein secretion

作　　者：汪家权[1,2] 钟锦[1] 

机构地区：[1]合肥工业大学管理学院,安徽合肥230009 [2]合肥工业大学资源与环境工程学院,安徽合肥230009

出　　处：《水利学报》2010年第3期325-331,共7页Journal of Hydraulic Engineering

基　　金：国家自然科学基金资助项目(50379003;40202027);安徽省自然科学基金资助项目(03045306)

摘　　要：通过对水污染扩散的时空演化的分析,对水污染演化过程中迁移扩散运动的复杂行为进行了研究,建立了流域污染物扩散演化规律的数学模型。借鉴蛋白质分泌过程产生的信号肽在细胞基质中指引分泌蛋白合成的自组织演化序列行为,提出一种基于蛋白质分泌调节机制的生物情智学习行为的演化博弈算法。该系统的情智选择行为具有较高的自组织、自调节能力,保证算法搜索寻优行为的决策具有有效性。仿真计算结果表明:本文算法具有较强的自适应求解能力,为分析水资源的污染提供了定量的分析工具。By modeling and analysis on the spatial-temporal evolution of the spread of water pollution,the propagation behaviors of water pollution were studied,and the mathematical model for the spread of water pollutants in a basin was established.An algorithm of evolutionary game with biological intelligence-learning behavior based on the mechanism of protein secreted is suggested.By the signal peptide being produced in the process of protein secrete for guiding the action of evolution sequence of secreted protein synthesis in the stroma cells,an evolutionary game algorithm is established.The intelligence-choice system has the behaviors of a high self-organization and self-regulating capacity for ensuring the validity of the system in decision-making.The simulation experiments show that the algorithm is highly adaptive to solve the water pollution spread function.

关 键 词：蛋白质分泌机制 水污染扩散 演化博弈算法 情智学习 

分 类 号：X11[环境科学与工程—环境科学]