位置：成果数据库 > 期刊 > 期刊详情页
Runtime analysis of a multi-objective evolutionary algorithm for obtaining finite approximations of
  • ISSN号：0020-0255
  • 期刊名称：Information Sciences
  • 时间：2014.3.20
  • 页码：62-77
  • 相关项目：感染性疾病调控网络的动力学模型与并行算法
作者： Yu Chen|Yu Chen|Xiufen Zou|Xiufen Zou|
同期刊论文项目
感染性疾病调控网络的动力学模型与并行算法
期刊论文 103
同项目期刊论文
Modeling and Dynamical Analysis of Virus-Triggered Innate Immune Signaling Pathways
A note on the upper bound in SA AMG convergence analysis
Complex Dynamical Analysis of a Coupled Network from Innate Immune Responses
Systematic Analysis of the Mechanisms of Virus-Triggered Type I IFN Signaling Pathways through Mathe
Diversity-maintained differential evolution embedded with gradient-based local search
A new method for detecting protein complexes based on the three node cliques
Characterizing and controlling the inflammatory network during influenza A virus infection
一种多策略融合的多目标粒子群优化算法
Estimation ofcontrol energy and control strategies for complex networks
Crosstalk between pathwaysenhances the controllability of signalling networks
Mathematicalmodeling reveals the mechanisms of feedforward regulation in cell fatedecisions in buddi
Mathematical Modeling and Nonlinear Dynamical Analysisof Cell Growth in Response to Antibiotics
Deciphering deterioration mechanisms of complex diseases based on the construction of dynamic networ
Mathematicalmodeling for intracellular transport and binding of HIV-1 Gag proteins
Optimal control strategy for abnormal innate immune response.
S1PR1介导细胞因子释放的信号通路的数学建模及其分析
Mathematical modeling reveals the mechanisms of feedforward regulation in cell fate decisions in budding yeast