A GA-PCA approach for power sector performance ranking based on machine productivity

DOI10.1016/j.amc.2006.07.138zbMath1128.90364OpenAlexW2085449523MaRDI QIDQ884572

N. E. Zubov

Publication date: 6 June 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.07.138

zbMATH Keywords

productivitygenetic algorithmsprinciple component analysisnumerical taxonomy

Mathematics Subject Classification ID

Search theory (90B40) Production models (90B30)

Cites Work

• Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities
• On the Approximability of Numerical Taxonomy (Fitting Distances by Tree Metrics)
• Unnamed Item

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