Evolved election forecasts: Using genetic algorithms in improving election forecast results

Ronald Hochreiter; Christoph Waldhauser

doi:10.1145/2001858.2001987

Evolved election forecasts: Using genetic algorithms in improving election forecast results

Ronald Hochreiter
, Christoph Waldhauser

Vienna University of Economics and Business

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
Pages	229-230
Number of pages	2
DOIs	https://doi.org/10.1145/2001858.2001987
Publication status	Published - 2011
Externally published	Yes
Event	13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 - Dublin, Ireland Duration: 12 Jul 2011 → 16 Jul 2011

Publication series

Name	Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication

Conference

Conference	13th Annual Genetic and Evolutionary Computation Conference, GECCO'11
Country/Territory	Ireland
City	Dublin
Period	12/07/11 → 16/07/11

Keywords

computational political science
election forecasting
genetic algorithms

Access to Document

10.1145/2001858.2001987

Cite this

@inproceedings{c99b0d5ad23d40d4a6b1b933dc543926,

title = "Evolved election forecasts: Using genetic algorithms in improving election forecast results",

keywords = "computational political science, election forecasting, genetic algorithms",

author = "Ronald Hochreiter and Christoph Waldhauser",

year = "2011",

doi = "10.1145/2001858.2001987",

language = "English",

isbn = "9781450306904",

series = "Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication",

pages = "229--230",

booktitle = "Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication",

note = "13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 ; Conference date: 12-07-2011 Through 16-07-2011",

}

Hochreiter, R & Waldhauser, C 2011, Evolved election forecasts: Using genetic algorithms in improving election forecast results. in Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication, pp. 229-230, 13th Annual Genetic and Evolutionary Computation Conference, GECCO'11, Dublin, Ireland, 12/07/11. https://doi.org/10.1145/2001858.2001987

Evolved election forecasts: Using genetic algorithms in improving election forecast results. / Hochreiter, Ronald; Waldhauser, Christoph.
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. 2011. p. 229-230 (Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Evolved election forecasts

T2 - 13th Annual Genetic and Evolutionary Computation Conference, GECCO'11

AU - Hochreiter, Ronald

AU - Waldhauser, Christoph

PY - 2011

Y1 - 2011

KW - computational political science

KW - election forecasting

KW - genetic algorithms

UR - https://www.scopus.com/pages/publications/80051950072

U2 - 10.1145/2001858.2001987

DO - 10.1145/2001858.2001987

M3 - Conference contribution

AN - SCOPUS:80051950072

SN - 9781450306904

T3 - Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication

SP - 229

EP - 230

BT - Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication

Y2 - 12 July 2011 through 16 July 2011

ER -

Evolved election forecasts: Using genetic algorithms in improving election forecast results

Publication series

Conference

Keywords

Access to Document

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