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Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites
The teaching learning-based optimization (TLBO) algorithm has shown competitive performance in solving numerous real-world optimization problems.
A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem
Experimental results reveal that the QLSCA is statistically superior with regard to test suite size reduction compared to recent state-of-the-art strategies, including the original SCA, the particle swarm test generator (PSTG), adaptive particle swarm optimization (APSO) and the cuckoo search strategy (CS) at the 95% confidence level.
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