Self-adaptive Population Size Strategy Based on Flower Pollination Algorithm for T-Way
Test Suite Generation

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Self-adaptive Population Size Strategy Based on Flower Pollination Algorithm for T-Way Test Suite Generation

The performance of meta-heuristic algorithms is highly dependents on the fine balance between intensification and diversification. Too much intensification may result in the quick loss of diversity and aggressive diversification may lead to inefficient search. Therefore, there is a need for proper p...

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Bibliographic Details
Main Authors:	Abdullah, Nasser, Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English
Published:	Springer, Singapore 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/28029/ http://umpir.ump.edu.my/id/eprint/28029/1/Self-adaptive%20Population%20Size%20Strategy%20Based%20on%20Flower1.pdf

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