2

Evolutionary multiobjective optimization via efficient sampling-based offspring generation
With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms …
Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin
Cite DOI URL
A benchmark generator for online dynamic single-objective and multi-objective optimization problems
In the past years, a number of benchmarks have been developed to characterize dynamic optimization problems (DOPs) consisting of a …
Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin
Cite DOI URL
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network
Despite significant advances in image-to-image (I2I) translation with generative adversarial networks (GANs), it remains challenging to …
Shihua Huang, Cheng He, Ran Cheng
Cite DOI
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation
As a typical large-scale multiobjective optimization problem extracted from real-world applications, the voltage transformer ratio …
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
Cite DOI URL
Memory-based variable neighborhood search for green vehicle routing problem with passing-by drivers: a comprehensive perspective
A business delivery model with professional vehicles as well as occasional passing-by vehicles is investigated in this paper. The …
Lei Cao, Chun-ming Ye, Ran Cheng, Zhen-kun Wang
Cite DOI URL
Ternary Compression for Communication-Efficient Federated Learning
Learning over massive data stored in different locations is essential in many real-world applications. However, sharing data is full of …
Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng
Cite DOI
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization
Offspring generation plays an important role in evolutionary multiobjective optimization. However, generating promising candidate …
Cheng He, Ran Cheng, Danial Yazdani
Cite DOI
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping
Variable grouping provides an efficient approach to large-scale optimization, and multipopulation strategies are effective for both …
Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin
Cite DOI
Hybrid Attention-based Transformer Block Model for Distant Supervision Relation Extraction
With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge …
Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao
Cite DOI URL
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance …
Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng
Cite DOI