Predict the success or failure of an evolutionary algorithm run

Gopinath Chennupati; Conor Ryan; R. Muhammad Atif Azad

doi:10.1145/2598394.2598471

Predict the success or failure of an evolutionary algorithm run

Gopinath Chennupati, Conor Ryan, R. Muhammad Atif Azad

University of Limerick

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

2 Citations (Scopus)

Original language	English
Title of host publication	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference
Publisher	Association for Computing Machinery
Pages	131-132
Number of pages	2
ISBN (Print)	9781450328814
DOIs	https://doi.org/10.1145/2598394.2598471
Publication status	Published (VoR) - 2014
Event	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion - Vancouver, BC, Canada Duration: 12 Jul 2014 → 16 Jul 2014

Publication series

Name	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

Conference

Conference	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion
Country/Territory	Canada
City	Vancouver, BC
Period	12/07/14 → 16/07/14

Keywords

Ant mining
Grammatical Evolution
Machine learning
Symbolic regression
Training set

Access to Document

10.1145/2598394.2598471

Cite this

Chennupati, G., Ryan, C., & Azad, R. M. A. (2014). Predict the success or failure of an evolutionary algorithm run. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference (pp. 131-132). (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). Association for Computing Machinery. https://doi.org/10.1145/2598394.2598471

Chennupati, Gopinath ; Ryan, Conor ; Azad, R. Muhammad Atif. / Predict the success or failure of an evolutionary algorithm run. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. pp. 131-132 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

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isbn = "9781450328814",

series = "GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference",

publisher = "Association for Computing Machinery",

pages = "131--132",

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note = "16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion ; Conference date: 12-07-2014 Through 16-07-2014",

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Chennupati, G, Ryan, C & Azad, RMA 2014, Predict the success or failure of an evolutionary algorithm run. in GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 131-132, 16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion, Vancouver, BC, Canada, 12/07/14. https://doi.org/10.1145/2598394.2598471

Predict the success or failure of an evolutionary algorithm run. / Chennupati, Gopinath; Ryan, Conor; Azad, R. Muhammad Atif.
GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. p. 131-132 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

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

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Chennupati G, Ryan C, Azad RMA. Predict the success or failure of an evolutionary algorithm run. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery. 2014. p. 131-132. (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). doi: 10.1145/2598394.2598471

Predict the success or failure of an evolutionary algorithm run

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