Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Calçada, Dulce ^a   Rosa, Agostinho ^a   Duarte, Luís C ^b   Lopes, Vitor V ^b  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b LABORATÓRIO NACIONAL DE ENERGIA E GEOLOGIA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL VARIABILITY; CONVERGENCE BEHAVIORS; CROSSOVER AND MUTATION; EXPERIMENTAL DATA; MICROBIAL GROWTH MODELS; OBJECTIVE FUNCTION VALUES; OSCILLATORY BEHAVIORS; YEAST GROWTH KINETICS;

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; PARAMETER ESTIMATION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79959415165     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586489     Document Type: Conference Paper

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