基于酵母S.cerevisiae的生物学实验数据,建立了由Scaffold介导的酵母交配、侵入生长和应力-应答的MAPK(mitogen activated protein kinase,丝裂原活化蛋白激酶)级联信号转导网络的数学模型.利用简化的包含交配和侵入生长两条通路的非线性动力学模型,定量分析了三个关键性的特性:信号的专一性、信号的振幅和信号的延迟;考查scaffold及其复合物的反应率如何影响信号转导的效率,研究表明:Scaffold蛋白对信号专一性和信号振幅有较大的影响,而信号的延迟(特别是平衡状态时)主要由去磷酸化或降解反应率来控制.
In this paper, refusal of operation and the degree of constraint violation are considered as one part of the objective function for optimizing the protection relay setting coordination of over current relays in power systems; a new expression of objective function in this optimization problem is proposed. To combine the advantages of both Tabu search （TS） and evolutionary algorithms （EAs）, a new niche-based evolutionary Tabu search algorithm （named NETS） is presented to solve this optimization problem. Moreover, in two cases of power networks, comparisons between NETS and two published algorithms are given. Experimental results show the expression of the objective function for protection relay setting is feasible and reasonable, and the proposed algorithm NETS exhibits a good performance.
