A GPU-based multi-swarm PSO method for parameter estimation in stochastic biological systems exploiting discrete-time target series

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

Volumn 7246 LNCS, Issue , 2012, Pages 74-85

  Nobile, Marco S ^a   Besozzi, Daniela ^b   Cazzaniga, Paolo ^c   Mauri, Giancarlo ^a   Pescini, Dario ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

^c UNIVERSITY OF BERGAMO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CANDIDATE SOLUTION; COMPUTATIONAL COSTS; DISCRETE-TIME; ENZYMATIC KINETIC; EXPERIMENTAL DATA; GENE EXPRESSION NETWORK; INITIAL CONDITIONS; KINETIC CONSTANT; LABORATORY CONDITIONS; MULTI-SWARMS; STOCHASTIC SIMULATION ALGORITHMS; SYSTEMS BIOLOGY;

BIOINFORMATICS; BIOLOGICAL SYSTEMS; DATA MINING; DYNAMICS; GENE EXPRESSION; LEARNING SYSTEMS; PARAMETER ESTIMATION; STOCHASTIC MODELS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84859141840     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29066-4_7     Document Type: Conference Paper

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