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Rui Zhong
Rui Zhong
Hokkaido University, Phd student
Bestätigte E-Mail-Adresse bei elms.hokudai.ac.jp
Titel
Zitiert von
Zitiert von
Jahr
Prediction of bone metastasis in breast cancer based on minimal driver gene set in gene dependency network
JN Li, R Zhong, XH Zhou
Genes 10 (6), 466, 2019
102019
Cooperative coevolutionary differential evolution with linkage measurement minimization for large-scale optimization problems in noisy environments
R Zhong, E Zhang, M Munetomo
Complex & Intelligent Systems 9 (4), 4439-4456, 2023
92023
Cooperative coevolutionary surrogate ensemble-assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization problems
R Zhong, E Zhang, M Munetomo
Complex & Intelligent Systems 10 (2), 2129-2149, 2024
72024
Q-learning based vegetation evolution for numerical optimization and wireless sensor network coverage optimization
R Zhong, F Peng, J Yu, M Munetomo
Alexandria Engineering Journal 87, 148-163, 2024
62024
Vegetation evolution with dynamic maturity strategy and diverse mutation strategy for solving optimization problems
R Zhong, F Peng, E Zhang, J Yu, M Munetomo
Biomimetics 8 (6), 454, 2023
52023
Surrogate ensemble-assisted hyper-heuristic algorithm for expensive optimization problems
R Zhong, J Yu, C Zhang, M Munetomo
International Journal of Computational Intelligence Systems 16 (1), 169, 2023
32023
Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors
R Zhong, E Zhang, M Munetomo
The Journal of Supercomputing, 1-32, 2024
22024
Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning
R Zhong, E Zhang, M Munetomo
arXiv preprint arXiv:2209.13077, 2022
22022
Meta generative image and text data augmentation optimization
E Zhang, B Dong, M Wahib, R Zhong, M Munetomo
The Journal of Supercomputing, 1-19, 2024
12024
SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems
R Zhong, J Yu, C Zhang, M Munetomo
Neural Computing and Applications, 1-20, 2024
12024
Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems
R Zhong, C Zhang, J Yu
Evolutionary Intelligence, 1-25, 2024
12024
Cooperative coevolutionary differential evolution with adjacent intensity matrix with linkage identification for large-scale optimization problems in noisy environments
R Zhong, B Tu, E Zhang, M Munetomo
Evolutionary Intelligence, 1-21, 2024
2024
Hybrid remora crayfish optimization for engineering and wireless sensor network coverage optimization
R Zhong, Q Fan, C Zhang, J Yu
Cluster Computing, 1-28, 2024
2024
Multiplayer battle game-inspired optimizer for complex optimization problems
Y Xu, R Zhong, C Zhang, J Yu
Cluster Computing, 1-25, 2024
2024
Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
R Zhong, Y Xu, C Zhang, J Yu
arXiv preprint arXiv:2403.10100, 2024
2024
Learning from the Past Training Trajectories: Regularization by Validation
E Zhang, M Wahib, R Zhong, M Munetomo
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2024
2024
Meta Generative Data Augmentation Optimization
E Zhang, B Dong, M Wahib, R Zhong, M Munetomo
2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023
2023
Evolutionary Multi-mode Slime mould Optimization: A hyper-heuristic algorithm inspired by slime mould foraging behaviors
R Zhong, E Zhang, M Munetomo
2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023
2023
Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments
R Zhong, B Tu, E Zhang, M Munetomo
2023 IEEE Congress on Evolutionary Computation (CEC), 01-10, 2023
2023
A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem
R Zhong, E Zhang, M Munetomo
International Conference on Optimization and Learning, 74-84, 2023
2023
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