Implementing a diffusion model optimized by a hybrid evolutionary algorithm to forecast notebook shipments

Applied Soft Computing Journal

Volumn 13, Issue 2, 2013, Pages 1147-1151

  Wang, Fu Kwun ^a   Chang, Ku Kuang ^b   Hsiao, Yu Yao ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b TAKMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Forecasting; Genetic algorithm; Modified diffusion model; Particle swarm optimization

Indexed keywords

DIFFUSION; FORECASTING; GENETIC ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); SHIPS; TECHNOLOGICAL FORECASTING;

BASS DIFFUSION MODEL; DIFFUSION MODEL; FORECASTING PERFORMANCE; GENETIC ALGORITHM (GAS); HYBRID EVOLUTIONARY ALGORITHM; MEAN ABSOLUTE PERCENTAGE ERROR; NONLINEAR ALGORITHMS; TECHNOLOGICAL INNOVATION;

EVOLUTIONARY ALGORITHMS;

EID: 84881643824     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.11.004     Document Type: Article

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