A hybrid genetic programming method in optimization and forecasting: a case study of the broadband penetration in OECD countries

DOI10.1155/2012/904797zbMath1264.90116OpenAlexW2097876735WikidataQ58698865 ScholiaQ58698865MaRDI QIDQ1953225

Vasilios Stylianakis, Konstantinos Salpasaranis

Publication date: 7 June 2013

Published in: Advances in Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/904797

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Case-oriented studies in operations research (90B90)

Related Items (1)

Combining diffusion models and macroeconomic indicators with a modified genetic programming method: implementation in forecasting the number of mobile telecommunications subscribers in OECD countries

Uses Software

• Python

Cites Work

• Unnamed Item
• Forecasting with computer-evolved model specifications: A genetic programming application.
• Technical Change and the Rate of Imitation

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