Evolving accuracy: A genetic algorithm to improve election night forecasts

Ronald Hochreiter; Christoph Waldhauser

doi:10.1016/j.asoc.2015.05.033

Evolving accuracy: A genetic algorithm to improve election night forecasts

Ronald Hochreiter
, Christoph Waldhauser

Vienna University of Economics and Business
K Data Science Solutions

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	606-612
Number of pages	7
Journal	Applied Soft Computing Journal
Volume	34
DOIs	https://doi.org/10.1016/j.asoc.2015.05.033
Publication status	Published - 20 Jun 2015
Externally published	Yes

Keywords

Constituency clustering
Ecological regression
Election night forecasting
Genetic algorithm

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10.1016/j.asoc.2015.05.033

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title = "Evolving accuracy: A genetic algorithm to improve election night forecasts",

keywords = "Constituency clustering, Ecological regression, Election night forecasting, Genetic algorithm",

author = "Ronald Hochreiter and Christoph Waldhauser",

year = "2015",

month = jun,

day = "20",

doi = "10.1016/j.asoc.2015.05.033",

language = "English",

volume = "34",

pages = "606--612",

journal = "Applied Soft Computing Journal",

issn = "1568-4946",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Evolving accuracy

T2 - A genetic algorithm to improve election night forecasts

AU - Hochreiter, Ronald

AU - Waldhauser, Christoph

PY - 2015/6/20

Y1 - 2015/6/20

KW - Constituency clustering

KW - Ecological regression

KW - Election night forecasting

KW - Genetic algorithm

UR - https://www.scopus.com/pages/publications/84934954456

U2 - 10.1016/j.asoc.2015.05.033

DO - 10.1016/j.asoc.2015.05.033

M3 - Article

AN - SCOPUS:84934954456

SN - 1568-4946

VL - 34

SP - 606

EP - 612

JO - Applied Soft Computing Journal

JF - Applied Soft Computing Journal

ER -

Evolving accuracy: A genetic algorithm to improve election night forecasts

Keywords

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