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

DOI10.1016/J.EJOR.2015.03.047zbMath1346.92010OpenAlexW2063748670MaRDI QIDQ319986

Xue-Ming Ding, Ngaam J. Cheung, Hong-Bin Shen, Zhen-Kai Xu

Publication date: 6 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.03.047

zbMATH Keywords

global optimizationdynamical systemcomputational biologyparticle swarm optimization (PSO)Takagi-sugeno (T-S) fuzzy model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Computational methods for problems pertaining to biology (92-08) Systems biology, networks (92C42) Fuzzy ordinary differential equations (34A07)

Related Items (2)

A non-homogeneous firefly algorithm and its convergence analysis ⋮ Loop-based conic multivariate adaptive regression splines is a novel method for advanced construction of complex biological networks

Uses Software

• CMARS

Cites Work

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