Feng Wang
Orcid: 0000-0003-2109-9719Affiliations:
- Wuhan University, School of Computer Science, China (PhD 2008)
According to our database1,
Feng Wang
authored at least 51 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties.
IEEE Trans. Fuzzy Syst., May, 2024
An improved two-archive artificial bee colony algorithm for many-objective optimization.
Expert Syst. Appl., February, 2024
Many-objective evolutionary algorithm based on parallel distance for handling irregular Pareto fronts.
Swarm Evol. Comput., 2024
A multi-swarm optimizer with a reinforcement learning mechanism for large-scale optimization.
Swarm Evol. Comput., 2024
A coevolutionary estimation of distribution algorithm based on dynamic differential grouping for mixed-variable optimization problems.
Expert Syst. Appl., 2024
CoRR, 2024
A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization.
Appl. Soft Comput., 2024
2023
Deep reinforcement learning for multi-objective combinatorial optimization: A case study on multi-objective traveling salesman problem.
Swarm Evol. Comput., December, 2023
An Enhanced Subregion Dominance Relation for Evolutionary Many-Objective Optimization.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
J. King Saud Univ. Comput. Inf. Sci., 2022
A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization.
Inf. Sci., 2022
Artificial bee colony based on adaptive search strategy and random grouping mechanism.
Expert Syst. Appl., 2022
2021
A new prediction strategy for dynamic multi-objective optimization using Gaussian Mixture Model.
Inf. Sci., 2021
Good for use, but better for choice: A relative model of competing social networking services.
Inf. Manag., 2021
An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows.
Comput. Ind. Eng., 2021
2020
Inf. Sci., 2020
An ensemble learning based prediction strategy for dynamic multi-objective optimization.
Appl. Soft Comput., 2020
FPA-DNN: A Forward Propagation Acceleration based Deep Neural Network for Ship Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization.
Swarm Evol. Comput., 2019
Knowledge withholding in online knowledge spaces: Social deviance behavior and secondary control perspective.
J. Assoc. Inf. Sci. Technol., 2019
Understanding the role of technology attractiveness in promoting social commerce engagement: Moderating effect of personal interest.
Inf. Manag., 2019
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019
2018
Inf. Sci., 2018
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
2017
Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction.
Soft Comput., 2017
Appl. Soft Comput., 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
2016
Neural Comput. Appl., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
A discrete particle swarm optimization box-covering algorithm for fractal dimension on complex networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Frontiers Comput. Sci., 2014
Stock volatility prediction using multi-kernel learning based extreme learning machine.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
A differential evolution box-covering algorithm for fractal dimension on complex networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2011
Using selfish gene theory to construct mutual information and entropy based clusters for bivariate optimizations.
Soft Comput., 2011
Proceedings of the Database and Expert Systems Applications, 2011
2010
Hybrid sampling on mutual information entropy-based clustering ensembles for optimizations.
Neurocomputing, 2010
Algorithmic Trading Strategy Optimization Based on Mutual Information Entropy Based Clustering.
Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010
Proceedings of the ICDMW 2010, 2010
2009
Frontiers Comput. Sci. China, 2009
A New Virtual Population Based Incremental Learning Approach for Optimizations Using Selfish Gene Theory.
Proceedings of the Fifth International Conference on Natural Computation, 2009
SGMIEC: using selfish gene theory to construct mutualinformation and entropy based cluster for optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
SGMIT: using selfish gene theory to construct mutualinformation trees for optimization.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009
2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Appl. Math. Comput., 2007