Effective regression test case selection: A systematic literature review
Regression test case selection techniques attempt to increase the testing effectiveness
based on the measurement capabilities, such as cost, coverage, and fault detection. This …
based on the measurement capabilities, such as cost, coverage, and fault detection. This …
How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance
With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
Cerebro: context-aware adaptive fuzzing for effective vulnerability detection
Existing greybox fuzzers mainly utilize program coverage as the goal to guide the fuzzing
process. To maximize their outputs, coverage-based greybox fuzzers need to evaluate the …
process. To maximize their outputs, coverage-based greybox fuzzers need to evaluate the …
Research on autodisturbance-rejection control of induction motors based on an ant colony optimization algorithm
Z Yin, C Du, J Liu, X Sun… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
An autodisturbance-rejection control (ADRC) of an induction motor based on an ant colony
optimization (ACO) algorithm is proposed in this paper, in order to realize the precise …
optimization (ACO) algorithm is proposed in this paper, in order to realize the precise …
Investigation of home energy management with advanced direct load control and optimal scheduling of controllable loads
Due to the rapid changes in the energy situation on a global scale, the amount of RES
installed using clean renewable energy sources such as Photovoltaic (PV) and Wind-power …
installed using clean renewable energy sources such as Photovoltaic (PV) and Wind-power …
Single-machine-based joint optimization of predictive maintenance planning and production scheduling
Q Liu, M Dong, FF Chen - Robotics and Computer-Integrated Manufacturing, 2018 - Elsevier
Maintenance planning and production scheduling are two activities that are inter-dependent
but most often performed independently in manufacturing. The maintenance planning affects …
but most often performed independently in manufacturing. The maintenance planning affects …
A modified sine cosine algorithm for solving optimization problems
M Wang, G Lu - Ieee Access, 2021 - ieeexplore.ieee.org
The sine cosine algorithm (SCA) is a newly emerging optimization algorithm. It is easy for
sine cosine algorithm (SCA) to sink into premature of the algorithm and obtain a slower …
sine cosine algorithm (SCA) to sink into premature of the algorithm and obtain a slower …
Single-machine-based joint optimization of predictive maintenance planning and production scheduling
Q Liu, M Dong, FF Chen, W Lv, C Ye - Robotics and computer-integrated …, 2019 - Elsevier
Maintenance planning and production scheduling are two activities that are inter-dependent
but most often performed independently in manufacturing. The maintenance planning affects …
but most often performed independently in manufacturing. The maintenance planning affects …
Multiscenarios parameter optimization method for active disturbance rejection control of PMSM based on deep reinforcement learning
Y Wang, S Fang, J Hu, D Huang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a multiscenario parameter optimization method for an active disturbance
rejection controller (ADRC) of a permanent magnet synchronous motor (PMSM) based on …
rejection controller (ADRC) of a permanent magnet synchronous motor (PMSM) based on …
A test case prioritization genetic algorithm guided by the hypervolume indicator
Regression testing is performed during maintenance activities to assess whether the
unchanged parts of a software behave as intended. To reduce its cost, test case prioritization …
unchanged parts of a software behave as intended. To reduce its cost, test case prioritization …