A comparison of genetic algorithms and particle swarm optimization for parameter estimation in stochastic biochemical systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5483 LNCS, Issue , 2009, Pages 116-127

  Besozzi, D ^a   Cazzaniga, P ^b   Mauri, G ^b   Pescini, D ^b   Vanneschi, L ^b  

^a UNIVERSITY OF MILAN   (Italy)

^b UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMICAL SYSTEMS; LABORATORY EXPERIMENTS; MICHAELIS-MENTEN; MICHAELIS-MENTEN EQUATIONS; OPTIMIZATION HEURISTICS; PARAMETERS ESTIMATED; QUANTITATIVE PARAMETERS; STOCHASTIC BIOCHEMICAL SYSTEMS; SYSTEM DYNAMICS; UNKNOWN PARAMETERS;

BIOINFORMATICS; MINING; PARAMETER ESTIMATION; REACTION RATES; ROBOT LEARNING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67650679629     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01184-9_11     Document Type: Conference Paper

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