Jianxin Tang
Orcid: 0000-0002-6822-0590
According to our database1,
Jianxin Tang
authored at least 34 papers
between 1989 and 2024.
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Bibliography
2024
Sequential seeding policy on social influence maximization: a Q-learning-driven discrete differential evolution optimization.
J. Supercomput., February, 2024
Deep non-negative matrix factorization with edge generator for link prediction in complex networks.
Appl. Intell., January, 2024
2023
Identifying influential nodes for influence maximization problem in social networks using an improved discrete particle swarm optimization.
Soc. Netw. Anal. Min., December, 2023
Steering the spread of influence adaptively in social networks via a discrete scheduled particle swarm optimization.
Appl. Intell., November, 2023
A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism.
Appl. Intell., May, 2023
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time.
Appl. Intell., March, 2023
Maximizing the Influence Spread in Social Networks: A Learning-Automata-Driven Discrete Butterfly Optimization Algorithm.
Symmetry, 2023
Probing the influence maximization-cost minimization problem in social networks by using a multi-objective discrete differential evolution optimization.
Proceedings of the 2023 4th International Conference on Computing, 2023
2022
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism.
Knowl. Based Syst., 2022
A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism.
Knowl. Based Syst., 2022
2021
A clique-based discrete bat algorithm for influence maximization in identifying top-k influential nodes of social networks.
Soft Comput., 2021
A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism.
Expert Syst. Appl., 2021
A hierarchical knowledge guided backtracking search algorithm with self-learning strategy.
Eng. Appl. Artif. Intell., 2021
A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem.
Comput. Ind. Eng., 2021
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification.
BMC Bioinform., 2021
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem.
Appl. Soft Comput., 2021
Identifying Top-k Influential Nodes Based on Discrete Particle Swarm Optimization With Local Neighborhood Degree Centrality.
IEEE Access, 2021
A Novel Surrogate-guided Jaya Algorithm for the Continuous Numerical Optimization Problems.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021
An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021
A Novel Fruit Fly Optimization Algorithm with Vision Scanning Search and Extensive Learning Mechanism.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021
2020
A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks.
Knowl. Based Syst., 2020
2018
Maximizing the spread of influence via the collective intelligence of discrete bat algorithm.
Knowl. Based Syst., 2018
2017
A BPSO-SVM algorithm based on memory renewal and enhanced mutation mechanisms for feature selection.
Appl. Soft Comput., 2017
2014
An improved particle swarm optimisation with a linearly decreasing disturbance term for flow shop scheduling with limited buffers.
Int. J. Comput. Integr. Manuf., 2014
An improved particle swarm optimization with decline disturbance index (DDPSO) for multi-objective job-shop scheduling problem.
Comput. Oper. Res., 2014
2013
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013
2012
A new Approach based on Ant Colony Optimization (ACO) to Determine the Supply Chain (SC) Design for a Product Mix.
J. Comput., 2012
2011
J. Softw., 2011
Proceedings of the Sixth International Conference on Image and Graphics, 2011
2009
The Design of a High Efficient DNA In-Situ Synthesis Apparatus Based on the Principle of Typography Technique.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009
2005
Parallel Processing for Power System Generation Scheduling with Artificial Neural Networks for Load Forecasting.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2005
1989
The mixed coordination method and its application to the hydroelectric scheduling problems.
Proceedings of the IEEE International Conference on Systems, 1989