Toward an action-granularity-oriented modularization strategy for complex mechanical products using a hybrid GGA-CGA method
L Xiao, G Huang, G Zhang - Neural Computing and Applications, 2022 - Springer
Modular technology is a mainstream industrial trend, especially in manufacturing
transformation and upgrading. Modularization is fundamental in modular technology and …
transformation and upgrading. Modularization is fundamental in modular technology and …
[PDF][PDF] An overview of the concepts, classifications, and methods of population initialization in metaheuristic algorithms
MR Hassanzadeh, F Keynia - Journal of Advances in …, 2021 - journals.srbiau.ac.ir
In this study, an overview of the concepts, classificafions, and different methods of
populafion inifializafion in metaheurisfic algorithms that discussed in recent literatures will …
populafion inifializafion in metaheurisfic algorithms that discussed in recent literatures will …
[PDF][PDF] Question classification based on cognitive levels using linear svc
A student's cognitive level can be determined through an assessment such as final
examination. A person needs to have skills and knowledge with regard to educational …
examination. A person needs to have skills and knowledge with regard to educational …
A benchmark collection for mapping program educational objectives to ABET student outcomes: Accreditation
A Osman, AA Yahya, MB Kamal - 5th International Symposium on Data …, 2018 - Springer
This research aims to present a collection of dataset, which represents the mapping of
program education objectives to the ABET student outcomes. The dataset has been …
program education objectives to the ABET student outcomes. The dataset has been …
Classification algorithm for class imbalanced data based on optimized Mahalanobis-Taguchi system
T Mao, L Zhou, Y Zhang, Y Sun - Applied Intelligence, 2022 - Springer
Imbalanced data classification is a challenge in data mining and machine learning. To
improve the classification performance for imbalanced data, this paper proposes an …
improve the classification performance for imbalanced data, this paper proposes an …
Using particle swarm optimization algorithm and geospatial information system for potential evaluating of groundwater (case study: Mehran, Iran)
A Vafaeinejad, S Mahmoudi Jam - Arabian Journal of Geosciences, 2021 - Springer
One critical issue in the proper management of groundwater resources is identifying the
potential of these resources to plan and adopt the proper decisions about their utilization …
potential of these resources to plan and adopt the proper decisions about their utilization …
A new population initialisation method based on the Pareto 80/20 rule for meta‐heuristic optimisation algorithms
MR Hasanzadeh, F Keynia - IET Software, 2021 - Wiley Online Library
In this research, a new method for population initialisation in meta‐heuristic algorithms
based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm …
based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm …