Gan Ruan

According to our database, Gan Ruan authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

2023

Complementary surrogate-assisted differential evolution algorithm for expensive multi-objective problems under a limited computational budget.

Xiwen Cai, Gan Ruan, Bo Yuan, Liang Gao

Inf. Sci., 2023

Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization.

Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia

CoRR, 2023

2022

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.

Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao

CoRR, 2022

2021

A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization.

Gan Ruan, Jinhua Zheng, Juan Zou, Zhongwei Ma, Shengxiang Yang

Swarm Evol. Comput., 2021

2020

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Dataset, May, 2020

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Dataset, February, 2020

Solving dynamic multi-objective problems with an evolutionary multi-directional search approach.

Yaru Hu, Junwei Ou, Jinhua Zheng, Juan Zou, Shengxiang Yang, Gan Ruan

Knowl. Based Syst., 2020

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A predictive strategy based on special points for evolutionary dynamic multi-objective optimization.

Qingya Li, Juan Zou, Shengxiang Yang, Jinhua Zheng, Gan Ruan

Soft Comput., 2019

An adaptation reference-point-based multiobjective evolutionary algorithm.

Juan Zou, Liuwei Fu, Shengxiang Yang, Jinhua Zheng, Gan Ruan, Tingrui Pei, Lei Wang

Inf. Sci., 2019

A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization.

Junwei Ou, Jinhua Zheng, Gan Ruan, Yaru Hu, Juan Zou, Miqing Li, Shengxiang Yang, Xu Tan

Appl. Soft Comput., 2019

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance.

Jianwei Zhou, Juan Zou, Shengxiang Yang, Gan Ruan, Junwei Ou, Jinhua Zheng

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization.

Zhanglu Hou, Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Gan Ruan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

The effect of diversity maintenance on prediction in dynamic multi-objective optimization.

Gan Ruan, Guo Yu, Jinhua Zheng, Juan Zou, Shengxiang Yang

Appl. Soft Comput., 2017

A proportion-based selection scheme for multi-objective optimization.

Liuwei Fu, Juan Zou, Shengxiang Yang, Gan Ruan, Zhongwei Ma, Jinhua Zheng

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017