Cargando…
Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization
The emerging areas of IoT and sensor networks bring lots of software applications on a daily basis. To keep up with the ever-changing expectations of clients and the competitive market, the software must be updated. The changes may cause unintended consequences, necessitating retesting, i.e., regres...
Autores principales: | Bajaj, Anu, Abraham, Ajith, Ratnoo, Saroj, Gabralla, Lubna Abdelkareim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227216/ https://www.ncbi.nlm.nih.gov/pubmed/35746156 http://dx.doi.org/10.3390/s22124374 |
Ejemplares similares
-
Quantum-behaved particle swarm optimization based on solitons
por: Fallahi, Saeed, et al.
Publicado: (2022) -
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
por: Sun, Tao, et al.
Publicado: (2017) -
Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals
por: Kapoor, Bhaskar, et al.
Publicado: (2022) -
An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization
por: Yang, Zhen-Lun, et al.
Publicado: (2015) -
Investigating a Dual-Channel Network in a Sustainable Closed-Loop Supply Chain Considering Energy Sources and Consumption Tax
por: Gharye Mirzaei, Mehran, et al.
Publicado: (2022)