Jingming Yang

Orcid: 0000-0001-6698-5381

Affiliations:
  • Yanshan University, Qinhuangdao, Hebei, China


According to our database1, Jingming Yang authored at least 16 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Decision space information driven algorithm for dynamic multiobjective optimization with a changing number of objectives.
Int. J. Mach. Learn. Cybern., February, 2024

2023
Multi-spatial information joint guidance evolutionary algorithm for dynamic multi-objective optimization with a changing number of objectives.
Neural Comput. Appl., July, 2023

Maximum angle evolutionary selection for many-objective optimization algorithm with adaptive reference vector.
J. Intell. Manuf., March, 2023

A two stages prediction strategy for evolutionary dynamic multi-objective optimization.
Appl. Intell., 2023

2022
Knowledge-enhanced graph convolutional network for recommendation.
Multim. Tools Appl., 2022

Short text matching model with multiway semantic interaction based on multi-granularity semantic embedding.
Appl. Intell., 2022

2021
Many-objective optimization algorithm based on adaptive reference vector.
J. Intell. Fuzzy Syst., 2021

Multiregional co-evolutionary algorithm for dynamic multiobjective optimization.
Inf. Sci., 2021

Feature information prediction algorithm for dynamic multi-objective optimization problems.
Eur. J. Oper. Res., 2021

Evolutionary many-objective optimization algorithm based on angle and clustering.
Appl. Intell., 2021

2019
MOEA3D: a MOEA based on dominance and decomposition with probability distribution model.
Soft Comput., 2019

2017
Multi-objective particle swarm optimization algorithm based on leader combination of decomposition and dominance.
J. Intell. Fuzzy Syst., 2017

An improved multi-objective evolutionary algorithm based on environmental and history information.
Neurocomputing, 2017

2016
A differential evolution algorithm with self-adaptive strategy and control parameters based on symmetric Latin hypercube design for unconstrained optimization problems.
Eur. J. Oper. Res., 2016

2007
Application of Neural Network on Rolling Force Self-learning for Tandem Cold Rolling Mills.
Proceedings of the Advances in Neural Networks, 2007

2006
Application of Adaptable Neural Networks for Rolling Force Set-Up in Optimization of Rolling Schedules.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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