Jiahang Li

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gini population diversity-guided optimization for Flexible Job-Shop Scheduling in discrete manufacturing systems.
Adv. Eng. Informatics
Jiahang Li, Xinyu Li, Liang Gao
2025 J jnl
A Flexible Job Shop Scheduling Problem Considering On-Site Machining Fixtures: A Case Study From Customized Manufacturing Enterprise.
IEEE Trans Autom. Sci. Eng.
Jiahang Li, Xinyu Li, Liang Gao, Qihao Liu
2025 J jnl
A disjunctive graph-based metaheuristic for flexible job-shop scheduling problems considering fixture shortages in customized manufacturing systems.
Robotics Comput. Integr. Manuf.
Jiahang Li, Qihao Liu, Cuiyu Wang, Xinyu Li
2025 J jnl
A task-oriented evolutionary algorithm with a fitness-distance selection for fixture-constrained flexible job shop scheduling problem considering transfer times.
Comput. Ind. Eng.
Jiahang Li, Qihao Liu, Cuiyu Wang, Xinyu Li, Liang Gao
2025 J jnl
An efficient problem-specific evolutionary algorithm for flexible job shop scheduling problem with specific workers in highly customised manufacturing systems.
Int. J. Prod. Res.
Jiahang Li, Qihao Liu, Xinyu Li, Liang Gao
2024 J jnl
A multi-disjunctive-graph model-based memetic algorithm for the distributed job shop scheduling problem.
Adv. Eng. Informatics
Sihan Wang, Xinyu Li, Liang Gao, Jiahang Li
2024 J jnl
A variable population size opposition-based learning for differential evolution algorithm and its applications on feature selection.
Appl. Intell.
Le Wang, Jiahang Li, Xuefeng Yan
2024 J jnl
An effective metaheuristic technology of people duality psychological tendency and feedback mechanism-based Inherited Optimization Algorithm for solving engineering applications.
Expert Syst. Appl.
Kaiguang Wang, Min Guo, Cai Dai, Zhiqiang Li, Chengwei Wu, Jiahang Li
2024 J jnl
An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems.
Appl. Soft Comput.
Jiahang Li, Xinyu Li, Liang Gao
2024 J jnl
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications.
Swarm Evol. Comput.
Jiahang Li, Liang Gao, Xinyu Li
2022 J jnl
Self-adaptive opposition-based differential evolution with subpopulation strategy for numerical and engineering optimization problems.
Complex Intell. Syst.
Jiahang Li, Yuelin Gao, Hang Zhang, Qinwen Yang
2021 J jnl
A dual opposition-based learning for differential evolution with protective mechanism for engineering optimization problems.
Appl. Soft Comput.
Jiahang Li, Yuelin Gao, Kaiguang Wang, Ying Sun