Gao-Ji Sun

According to our database, Gao-Ji Sun authored at least 25 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Credibility-based fuzziness and incomplete information value in fuzzy programming.

Mingfa Zheng, Lisheng Zhang, Yanghe Feng, Linyuan He, Gaoji Sun

Evol. Intell., 2024

2023

A fluctuant population strategy for differential evolution.

Gaoji Sun, Geni Xu, Rong Gao, Jie Liu

Evol. Intell., December, 2023

A population state evaluation-based improvement framework for differential evolution.

Chunlei Li, Gaoji Sun, Libao Deng, Liyan Qiao, Guoqing Yang

Inf. Sci., June, 2023

Hierarchical structure-based joint operations algorithm for global optimization.

Gaoji Sun, Rongqing Han, Libao Deng, Chunlei Li, Guoqing Yang

Swarm Evol. Comput., 2023

2022

Two-level parameter cooperation-based population regeneration framework for differential evolution.

Gaoji Sun, Guoqing Yang, Guoqing Zhang

Swarm Evol. Comput., 2022

Differential evolution with dynamic combination based mutation operator and two-level parameter adaptation strategy.

Libao Deng, Chunlei Li, Yanfei Lan, Gaoji Sun, Changjing Shang

Expert Syst. Appl., 2022

Integration of development and advertising strategies for multi-attribute products under competition.

Yingchen Yan, Qiuhong Zhao, Zhongfeng Qin, Gaoji Sun

Eur. J. Oper. Res., 2022

2021

An adaptive regeneration framework based on search space adjustment for differential evolution.

Gaoji Sun, Chun-Lei Li, Libao Deng

Neural Comput. Appl., 2021

A Competitive Particle Swarm Algorithm Based on Vector Angles for Multi-Objective Optimization.

Libao Deng, Le Song, Gaoji Sun

IEEE Access, 2021

VaCSO: A Multi-objective Collaborative Competition Particle Swarm Algorithm Based on Vector Angles.

Libao Deng, Le Song, Sibo Hou, Gaoji Sun

Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

2020

An adaptive differential evolution with combined strategy for global numerical optimization.

Gaoji Sun, Bai Yang, Zuqiao Yang, Geni Xu

Soft Comput., 2020

A simple differential evolution with time-varying strategy for continuous optimization.

Gaoji Sun, Geni Xu, Nan Jiang

Soft Comput., 2020

An adaptive dimension level adjustment framework for differential evolution.

Libao Deng, Chun-Lei Li, Gao-Ji Sun

Knowl. Based Syst., 2020

Elite Representative Based Individual Adaptive Regeneration Framework for Differential Evolution.

Gaoji Sun, Yiran Wu, Libao Deng, Kai Wang

IEEE Access, 2020

2019

Differential evolution with Gaussian mutation and dynamic parameter adjustment.

Gaoji Sun, Yanfei Lan, Ruiqing Zhao

Soft Comput., 2019

Self-organizing hierarchical monkey algorithm with time-varying parameter.

Gaoji Sun, Yanfei Lan, Ruiqing Zhao

Neural Comput. Appl., 2019

Stability of solution for uncertain wave equation.

Rong Gao, Nana Ma, Gaoji Sun

Appl. Math. Comput., 2019

2018

Differential evolution with individual-dependent and dynamic parameter adjustment.

Gaoji Sun, Jin Peng, Ruiqing Zhao

Soft Comput., 2018

2016

Joint operations algorithm for large-scale global optimization.

Gaoji Sun, Ruiqing Zhao, Yanfei Lan

Appl. Soft Comput., 2016

2014

Dynamic partition search algorithm for global numerical optimization.

Gaoji Sun, Ruiqing Zhao

Appl. Intell., 2014

2011

Fuzzy two-stage material procurement planning problem.

Gaoji Sun, Yankui Liu, Yanfei Lan

J. Intell. Manuf., 2011

2010

Optimizing material procurement planning problem by two-stage fuzzy programming.

Gao-Ji Sun, Yan-Kui Liu, Yanfei Lan

Comput. Ind. Eng., 2010

A new evolutionary algorithm for global numerical optimization.

Gao-Ji Sun

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009

Modeling fuzzy multi-period production planning and sourcing problem with credibility service levels.

Yanfei Lan, Yan-Kui Liu, Gao-Ji Sun

J. Comput. Appl. Math., 2009

2008

Fuzzy Minimum-Risk Material Procurement Planning Problem.

Gao-Ji Sun, Yan-Kui Liu

Proceedings of the Fourth International Conference on Natural Computation, 2008