Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand est

By E. Assareh, M. Behrang, M. Assari, A. Ghanbarzadeh. 2010

221 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/1dba89d19f0ed3d7f82415cf8ae07857105ce862

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1. Xiaoxi Zhu
2. Miaomiao Wang
3. Weimin Ma

Citations in the corpus

• Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm (2013, methodology): “As a typical evolutionary algorithm based on Swarm Intelligence (SI), PSO has been successfully applied in many research and application areas in past several years for its simple expression, convenience to program and fast convergence (Yu et al., 2012; Assareh et al., 2010; Boonchuay and Ongsakul, ”