Android genetic programming framework

Alban Cotillon; Philip Valencia; Raja Jurdak

doi:10.1007/978-3-642-29139-5_2

Android genetic programming framework

Alban Cotillon^*, Philip Valencia, Raja Jurdak

^*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

Personalisation in smart phones requires adaptability to dynamic context based on application usage and sensor inputs. Current personalisation approaches do not provide sufficient adaptability to dynamic and unexpected context. This paper introduces the Android Genetic Programming Framework (AGP) as a personalisation method for smart phones. AGP considers the specific design challenges of smart phones, such as resource limitation and constrained programming environments. We demonstrate AGP's utility through empirical experiments on two applications: a news reader application and an energy efficient localisation application. Results show that AGP successfully adapts application behaviour to user context.

Original language	English
Title of host publication	Genetic Programming
Subtitle of host publication	15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings
Editors	Alberto Moraglio, Sara Silva, Krzysztof Krawiec, Penousal Machado, Carlos Cotta
Place of Publication	Berlin
Publisher	Springer, Springer Nature
Pages	13-24
Number of pages	12
ISBN (Electronic)	9783642291395
ISBN (Print)	9783642291388
DOIs	https://doi.org/10.1007/978-3-642-29139-5_2
Publication status	Published - 2012
Externally published	Yes
Event	15th European Conference on Genetic Programming, EuroGP 2012 - Malaga, Spain Duration: 11 Apr 2012 → 13 Apr 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7244
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	15th European Conference on Genetic Programming, EuroGP 2012
Country/Territory	Spain
City	Malaga
Period	11/04/12 → 13/04/12

Keywords

genetic programming
embedded
smartphone

Access to Document

10.1007/978-3-642-29139-5_2

Cite this

Cotillon, A., Valencia, P., & Jurdak, R. (2012). Android genetic programming framework. In A. Moraglio, S. Silva, K. Krawiec, P. Machado, & C. Cotta (Eds.), Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings (pp. 13-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7244). Springer, Springer Nature. https://doi.org/10.1007/978-3-642-29139-5_2

Cotillon, Alban ; Valencia, Philip ; Jurdak, Raja. / Android genetic programming framework. Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings. editor / Alberto Moraglio ; Sara Silva ; Krzysztof Krawiec ; Penousal Machado ; Carlos Cotta. Berlin : Springer, Springer Nature, 2012. pp. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Android genetic programming framework",

abstract = "Personalisation in smart phones requires adaptability to dynamic context based on application usage and sensor inputs. Current personalisation approaches do not provide sufficient adaptability to dynamic and unexpected context. This paper introduces the Android Genetic Programming Framework (AGP) as a personalisation method for smart phones. AGP considers the specific design challenges of smart phones, such as resource limitation and constrained programming environments. We demonstrate AGP's utility through empirical experiments on two applications: a news reader application and an energy efficient localisation application. Results show that AGP successfully adapts application behaviour to user context.",

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author = "Alban Cotillon and Philip Valencia and Raja Jurdak",

year = "2012",

doi = "10.1007/978-3-642-29139-5_2",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",

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note = "15th European Conference on Genetic Programming, EuroGP 2012 ; Conference date: 11-04-2012 Through 13-04-2012",

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Cotillon, A, Valencia, P & Jurdak, R 2012, Android genetic programming framework. in A Moraglio, S Silva, K Krawiec, P Machado & C Cotta (eds), Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7244, Springer, Springer Nature, Berlin, pp. 13-24, 15th European Conference on Genetic Programming, EuroGP 2012, Malaga, Spain, 11/04/12. https://doi.org/10.1007/978-3-642-29139-5_2

Android genetic programming framework. / Cotillon, Alban; Valencia, Philip; Jurdak, Raja.

Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings. ed. / Alberto Moraglio; Sara Silva; Krzysztof Krawiec; Penousal Machado; Carlos Cotta. Berlin : Springer, Springer Nature, 2012. p. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7244).

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

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AU - Valencia, Philip

AU - Jurdak, Raja

PY - 2012

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N2 - Personalisation in smart phones requires adaptability to dynamic context based on application usage and sensor inputs. Current personalisation approaches do not provide sufficient adaptability to dynamic and unexpected context. This paper introduces the Android Genetic Programming Framework (AGP) as a personalisation method for smart phones. AGP considers the specific design challenges of smart phones, such as resource limitation and constrained programming environments. We demonstrate AGP's utility through empirical experiments on two applications: a news reader application and an energy efficient localisation application. Results show that AGP successfully adapts application behaviour to user context.

AB - Personalisation in smart phones requires adaptability to dynamic context based on application usage and sensor inputs. Current personalisation approaches do not provide sufficient adaptability to dynamic and unexpected context. This paper introduces the Android Genetic Programming Framework (AGP) as a personalisation method for smart phones. AGP considers the specific design challenges of smart phones, such as resource limitation and constrained programming environments. We demonstrate AGP's utility through empirical experiments on two applications: a news reader application and an energy efficient localisation application. Results show that AGP successfully adapts application behaviour to user context.

KW - genetic programming

KW - embedded

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DO - 10.1007/978-3-642-29139-5_2

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AN - SCOPUS:84859120658

SN - 9783642291388

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Genetic Programming

A2 - Moraglio, Alberto

A2 - Silva, Sara

A2 - Krawiec, Krzysztof

A2 - Machado, Penousal

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PB - Springer, Springer Nature

CY - Berlin

T2 - 15th European Conference on Genetic Programming, EuroGP 2012

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Cotillon A, Valencia P, Jurdak R. Android genetic programming framework. In Moraglio A, Silva S, Krawiec K, Machado P, Cotta C, editors, Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings. Berlin: Springer, Springer Nature. 2012. p. 13-24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-29139-5_2

Android genetic programming framework

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