Computational optimization for S-type biological systems: cockroach genetic algorithm

DOI10.1016/j.mbs.2013.07.019zbMath1308.92041OpenAlexW1997470261WikidataQ45152213 ScholiaQ45152213MaRDI QIDQ2437024

Shinq-Jen Wu, Cheng-Tao Wu

Publication date: 27 February 2014

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2013.07.019

zbMATH Keywords

inverse problemS-systemmemetic algorithmstructure identificationcockroach swarm evolution

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Systems biology, networks (92C42)

Related Items (2)

Inverse problem studies of biochemical systems with structure identification of S-systems by embedding training functions in a genetic algorithm ⋮ Binary cockroach swarm optimization for combinatorial optimization problem

Uses Software

• GenMin

Cites Work

• Unnamed Item
• Biochemical systems theory: a review
• Genmin: an enhanced genetic algorithm for global optimization
• Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data
• Recent developments in parameter estimation and structure identification of biochemical and genomic systems
• Neuro-genetic algorithm for non-linear active control of structures

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