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...
Main Authors: | Abdullah, Nasser, Kamal Z., Zamli |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Springer, Singapore
2019
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/28029/ 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 |
Similar Items
-
Hybrid flower pollination algorithm strategies for t-way test suite generation
by: Abdullah, Nasser, et al.
Published: (2018) -
Sequence and sequence-less T-way test suite generation strategy based on flower pollination algorithm
by: Abdullah, Nasser, et al.
Published: (2015) -
Dynamic solution probability acceptance within the flower pollination algorithm for combinatorial t-way test suite generation
by: Abdullah, Nasser, et al.
Published: (2019) -
Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
by: Mohammed Abdullah, Abdullah Nasser
Published: (2018) -
Pairwise Test Data Generation based on Flower Pollination Algorithm
by: Nasser, Abdullah B., et al.
Published: (2017)