Generation of tests for programming challenge tasks using multi-objective optimization

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

In this paper, an evolutionary approach to generation of test cases for programming challenge tasks is investigated. Multi-objective and single-objective evolutionary algorithms, as well as helper-objective selection strategies, are compared. Particularly, a previously proposed method of choosing between helper-objectives with reinforcement learning is considered. This method is applied to the multi-objective evolutionary algorithm for the first time. Results of the experiment show that the most reasonable approach for the considered problem is using multi-objective evolutionary algorithm with automated helper-objective selection.

Iaith wreiddiolSaesneg
TeitlGECCO '13 Companion
Is-deitlProceedings of the 15th annual conference companion on Genetic and evolutionary computation
GolygyddionChristian Blum
CyhoeddwrAssociation for Computing Machinery
Tudalennau1655-1658
Nifer y tudalennau4
ISBN (Argraffiad)978-1-4503-1964-5
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 06 Gorff 2013
Cyhoeddwyd yn allanolIe
DigwyddiadGECCO 2013 - Genetic and Evolutionary Computation Conference - Amsterdam, Yr Iseldiroedd
Hyd: 06 Gorff 201310 Gorff 2013

Cynhadledd

CynhadleddGECCO 2013 - Genetic and Evolutionary Computation Conference
Gwlad/TiriogaethYr Iseldiroedd
DinasAmsterdam
Cyfnod06 Gorff 201310 Gorff 2013

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