Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm

European Journal of Operational Research

Volumn 247, Issue 2, 2015, Pages 349-358

  Cheung, Ngaam J ^a,b,c   Xu, Zhen Kai ^b   Ding, Xue Ming ^b   Shen, Hong Bin ^a  

^a Department of Automation   (China)

^b UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF CHICAGO   (United States)

Author keywords

Computational biology; Dynamical system; Global optimization; Particle swarm optimization (PSO); Takagi Sugeno (T S) fuzzy model

Indexed keywords

BIOINFORMATICS; BIOLOGICAL SYSTEMS; DYNAMICAL SYSTEMS; ELECTRIC NETWORK TOPOLOGY; FUZZY INFERENCE; FUZZY RULES; GLOBAL OPTIMIZATION; PARAMETER ESTIMATION; TOPOLOGY;

COMPUTATIONAL BIOLOGY; EXPLORATION AND EXPLOITATION; FUZZY RULE-BASED MODELS; HETEROGENEOUS PARTICLES; OPTIMIZATION FRAMEWORK; PARAMETERS ESTIMATION; TAKAGI SUGENO FUZZY MODELS; TIME-COURSE RESPONSE;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84938749469     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2015.03.047     Document Type: Article

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