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. Jialong Shi(第一作者); 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. 
2. Jialong Shi(第一作者), 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 
3. Jialong Shi(第一作者), Qingfu Zhang, Jianyong Sun, PPLS/D: Parallel pareto Local Search Based on Decomposition, IEEE Transactions on Cybernetics, 2020, 50(3): 1060-1071
4. Yuhao Kang, 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
5. Jialong Shi(第一作者); Jianyong Sun; Qingfu Zhang, Multi-Objectivization Inspired Metaheuristics for the Sum-of-the-Parts Combinatorial Optimization Problems, Applied Soft Computing, 2021, 103: 1-20. 
6. Jialong Shi(第一作者), Qingfu Zhang, A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics, Applied Soft Computing, 2018, 65: 374-386 
7. Jialong Shi(第一作者), Qingfu Zhang, Edward Tsang, EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure, Memetic Computing, 2018, 10(3): 333-350
8. Jialong Shi(第一作者), 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：

• Wei Wang, 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 (CEC2024), IEEE, 2024
• 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
• Yuhao Kang, 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
• 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