谷歌学术个人主页：Jialong Shi (石家隆) - Google 学术搜索
论文相关源代码见GitHub主页： JialongShi (github.com)
代表性论文：
1. Chentong Chen(学生一作), Mengyuan Zhong, Ye Fan, Jialong Shi(通讯作者), Jianyong Sun(通讯作者). HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design. 14th International Conference on Learning Representations (ICLR2026), 2026 (CCF-A类会议)
2. Wei Wang(学生一作), Jialong Shi(通讯作者), Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP, Expert Systems with Applications, Volume 263, 2024, 125611
(一区top期刊)
3. Yuhao Kang(学生一作), Jialong Shi(通讯作者), Jianyong Sun, Qingfu Zhang, Ye Fan, New techniques to improve neighborhood exploration in pareto local search, Expert Systems with Applications, Volume 254, 2024, 124296 (一区top期刊)
4. Shengming Sun(学生一作), Jialong Shi(通讯作者), Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution. 2026 Genetic and Evolutionary Computation Conference Companion (GECCO2026 Companion) , ACM, 2026 (CCF-C类会议)
5. Kexin Zhu(学生一作), Jialong Shi(通讯作者), Jianyong Sun, Mingen Kuang, Ye Fan. Vibroseis Vehicle Routing Problem with Spatio-Temporal Coupled Constraints. 2026 Genetic and Evolutionary Computation Conference Companion (GECCO2026 Companion) , ACM, 2026 (CCF-C类会议)
6. Hongyu Wang(学生一作), Yuhan Jing, Yibing Shi, Enjin Zhou, Haotian Zhang, Jialong Shi(通讯作者), Decoupling Numerical and Structural Parameters: An Empirical Study on Adaptive Genetic Algorithms via Deep Reinforcement Learning for the Large-Scale TSP. 2026 IEEE Congress on Evolutionary Computation (IEEE CEC2026), IEEE, 2026 (CCF-C类会议)
7. Donghan Wu(学生一作), Jialong Shi(通讯作者), Embedded 2-opt for LNS: A Process-Aware Window Mechanism Approach, 2026 IEEE Congress on Evolutionary Computation (IEEE CEC2026), IEEE, 2026 (CCF-C类会议)
8. Feng Luan(学生一作), Jialong Shi(通讯作者) and Jianyong Sun, Controllable Multimodal Landscapes: An Interpretable Surrogate Model for Combinatorial Spaces and Its Application to the k-Order Traveling Salesman Problem, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 2025, pp. 1428-1433 (CCF-C类会议)
9. Wei Wang(学生一作), Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan; On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP; 2024 IEEE Congress on Evolutionary Computation (IEEE CEC2024), IEEE, 2024 (CCF-C类会议)
10. Yuhao Kang(学生一作), Jialong Shi, Jianyong Sun, and Ye Fan. 2023. Improving Neighborhood Exploration Mechanism to Speed up PLS. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '23). Association for Computing Machinery, 688–694. 2023 (CCF-C类会议)
11. Jialong Shi; Jianyong Sun; Qingfu Zhang Haotian Zhang; Ye Fan; Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization, IEEE Transactions on Cybernetics, vol. 54, no. 4, pp. 2369-2382, April 2024. (一区top期刊)
12. Jialong Shi, Jianyong Sun, Qingfu Zhang, Kai Ye, Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem, IEEE Transactions on Cybernetics, vol. 52, no. 1, pp. 495-507, Jan. 2022 (一区top期刊)
13. Jialong Shi, Qingfu Zhang, Jianyong Sun, PPLS/D: Parallel pareto Local Search Based on Decomposition, IEEE Transactions on Cybernetics, 2020, 50(3): 1060-1071. (一区top期刊)
14. Jialong Shi; Jianyong Sun; Qingfu Zhang, Multi-Objectivization Inspired Metaheuristics for the Sum-of-the-Parts Combinatorial Optimization Problems, Applied Soft Computing, 2021, 103: 1-20. (二区top期刊)
15. Jialong Shi, Qingfu Zhang, A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics, Applied Soft Computing, 2018, 65: 374-386 (二区top期刊)
16. Jialong Shi, Qingfu Zhang, Edward Tsang, EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure, Memetic Computing, 2018, 10(3): 333-350
17. Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Using parallel strategies to speed up Pareto local search, 2017 International Conference on Simulated Evolution and Learning (SEAL2017), 62-74, Springer (Best Student Paper Award!)
其他主要论文：
Haotian Zhang, Jialong Shi, Jianyong Sun, Qingfu Zhang and Zongben Xu, "Neuro-PLS: A Generalizable Local Search Framework for Multi-objective Combinatorial Optimization," in IEEE Transactions on Evolutionary Computation. 2025
Haotian Zhang, Jianyong Sun, Zongben Xu, Jialong Shi, Learning unified mutation operator for differential evolution by natural evolution strategies, Information Sciences, Volume 632, Pages 594-616, 2023
Haotian, Zhang, Jianyong Sun, Yuhao Wang, Jialong Shi, Zongben Xu. Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence. 2022
Haotian, Zhang, Jialong Shi, Jianyong Sun, Zongben Xu. Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 383-386, 2022
Jialong Shi, Jianyong Sun, Qingfu Zhang, Multi-objective techniques for single-objective local search: A case study on traveling salesman problem International, 2019 Conference on Evolutionary Multi-Criterion Optimization (EMO2019), 114-125, Springer, 2019
Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong Sun, Parallel pareto local search revisited: First experimental results on bi-objective UBQP, 2018 Genetic and Evolutionary Computation Conference (GECCO2018), 753-760, 2018
Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, A parallel tabu search for the unconstrained binary quadratic programming problem, 2017 IEEE Congress on Evolutionary Computation (CEC2017), 557-564, IEEE, 2017