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ERIC Number: EJ773957
Record Type: Journal
Publication Date: 2007-Dec
Pages: 19
Abstractor: Author
Reference Count: N/A
ISSN: ISSN-0360-1315
Genetic Algorithm Based Multi-Agent System Applied to Test Generation
Meng, Anbo; Ye, Luqing; Roy, Daniel; Padilla, Pierre
Computers & Education, v49 n4 p1205-1223 Dec 2007
Automatic test generating system in distributed computing context is one of the most important links in on-line evaluation system. Although the issue has been argued long since, there is not a perfect solution to it so far. This paper proposed an innovative approach to successfully addressing such issue by the seamless integration of genetic algorithm (GA) and multi-agent system. In the design phase, a test ontology was firstly defined for smoothing the communication among agents. For the implementation of GA, the fitness function and the structure of chromosome were identified on the basis of the analysis of constraint conditions associated with a test. To demonstrate the task execution flow and messages passing among agents, the activity diagram and sequence diagram were also shown on the AUML basis. In the phase of implementation, the JADE based agent behavior model was described in detail and the implementation platform was also demonstrated. The final simulation results validated the feasibility of the proposed approach.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A