Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kunquan Shi"'
Publikováno v:
Symmetry, Vol 14, Iss 3, p 593 (2022)
Software developers need information for deciding the optimal time for software release with improved software reliability. However, it is not easy for them to decide when and how to release newly developed software to the market. For a decision, the
Externí odkaz:
https://doaj.org/article/171e5d5cf07c4d2b91e46822cf062c05
Autor:
Zhenlun Yang, Kunquan Shi
Publikováno v:
2022 2nd International Conference on Computation, Communication and Engineering (ICCCE).
Autor:
Shuangxia Tang, Kunquan Shi
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:2973-2980
Wearable-devices have developed rapidly. Meanwhile, the security and privacy protection of user data has also occurred frequently. Aiming at the process of privacy protection of wearable-device data release, based on the conventional V-MDAV algorithm
Publikováno v:
Mathematical Problems in Engineering, Vol 2022 (2022)
Reversible data hiding (RDH) allows carrying secret information in cover media without introducing permanent distortion. For a RDH method, the important performance measurements are embedding capacity and image quality. Since embedding capacity is an
Publikováno v:
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
A quantum-behaved particle swarm optimization with self-adaptive elitist crossover (EXQPSO) is proposed in this paper. In the proposed EXQPSO algorithm, the crossover operator is performed on the elitist individuals to improve the qualities of the se
Publikováno v:
2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP).
This paper presents a novel self-learning hybrid optimization algorithm based on the particle swarm optimization (PSO) algorithm and the salp swarm algorithm (SSA) algorithm, namely HSL-PSO-SSA, for solving the function optimization problems. In HSL-
Publikováno v:
2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
This paper presents a novel hybrid optimization algorithm based on particle swarm optimization (PSO) and moth-flame optimization (MFO), called Hy-PSO-MFO, for solving the function optimization problems. In this algorithm, the ideas of PSO and MFO are
Publikováno v:
2019 9th International Conference on Information Science and Technology (ICIST).
A quantum-behaved particle swarm optimization with extended elitist breeding (EEB-QPSO) is proposed in this paper. In the proposed EEB-QPSO algorithm, the superior solutions found in the whole evolution process so far are regarded as the elitists and
Autor:
Kunquan Shi
Publikováno v:
Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018).
Autor:
Kunquan Shi
Publikováno v:
Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018).