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Related Experiment Video

Updated: Feb 11, 2026

Establishing Pollination Requirements in Japanese Plum by Phenological Monitoring, Hand Pollinations, Fluorescence Microscopy and Molecular Genotyping
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Hybrid flower pollination algorithm strategies for t-way test suite generation.

Abdullah B Nasser1, Kamal Z Zamli1, AbdulRahman A Alsewari1

  • 1Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Pahang, Malaysia.

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Summary

Hybrid meta-heuristic algorithms, specifically flower pollination algorithm (FPA) variants, improve t-way testing efficiency. These novel FPA hybrids offer superior performance and faster convergence compared to existing strategies.

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Area of Science:

  • Software Engineering
  • Artificial Intelligence
  • Combinatorial Testing

Background:

  • Meta-heuristic algorithms are increasingly used for t-way testing.
  • Existing t-way strategies show mixed results, indicating no single approach is universally superior.
  • Algorithm hybridization can improve search capabilities by combining strengths and mitigating weaknesses.

Purpose of the Study:

  • To propose and evaluate hybrid variants of the flower pollination algorithm (FPA) for t-way testing.
  • To address the limitations of the original FPA, such as slow convergence.
  • To enhance the performance of t-way test generation strategies.

Main Methods:

  • Developed four hybrid variants of the FPA by integrating it with other algorithmic components.
  • Applied these hybrid FPA variants to t-way testing scenarios.
  • Compared the performance of hybrid FPA variants against existing t-way strategies.

Main Results:

  • The proposed FPA hybrids demonstrated statistically superior performance compared to existing t-way strategies.
  • Hybrid FPA variants overcame the slow convergence issue observed in the original FPA.
  • The test suite size was significantly improved using the FPA hybrids.

Conclusions:

  • Hybridization is an effective approach to enhance meta-heuristic algorithms for t-way testing.
  • The proposed FPA hybrids offer a promising solution for efficient and effective t-way test generation.
  • Future research can explore further hybridization techniques for combinatorial testing optimization.