A synergic quantum particle swarm optimisation for constrained combinatorial test generation
X Guo, X Song, J Zhou - IET software, 2022 - Wiley Online Library
Combinatorial testing (CT) can efficiently detect failures caused by interactions of
parameters of software under test. The CT study has undergone a transition from traditional …
parameters of software under test. The CT study has undergone a transition from traditional …
Effective covering array generation using an improved particle swarm optimization
Z Li, Y Chen, Y Song, K Lu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the test case generation process of combinatorial testing, particle swarm optimization
(PSO) is widely concerned for its simple implementation and fast convergence rate; …
(PSO) is widely concerned for its simple implementation and fast convergence rate; …
The least squares SVM for the prediction of production in the field of oil and gas
J Peng, Y Qiao, D Tang, L Ge, Q Xia… - International Journal of …, 2018 - igi-global.com
With the development of cognitive information technology and continuous application,
human society has also accelerated the development. Cognitive information is widely used …
human society has also accelerated the development. Cognitive information is widely used …
Oil and Gas Production Prediction Based on SVM and Improved Particle Swarm Optimization
J Peng, Y Qiao, S Jin, D Tang, L Ge, Q Xia… - … , and Applications in …, 2020 - igi-global.com
Cognitive information is widely used in the field of oil and gas, where production forecasts
are of great importance to companies. In this chapter, combining support vector machine …
are of great importance to companies. In this chapter, combining support vector machine …