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Lixin Tang
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Publications
- 2024
- [c55]Hongzhe Wang, Lixin Tang, Min Xiao, Qingxin Guo:
Multi-Objective Optimization for Joint Communication and Computing Resource Allocation in NOMA-Based MEC System. CEC 2024: 1-8 - [c50]Gelegen Che, Lixin Tang, Guodong Zhao, Qingxin Guo, Jianqiang Guo:
An Enhanced Surrogate-Assisted Multi-Objective Differential Evolution Algorithm with Self-Adaptive Strategies for Order Planning in Hot Rolling Process: Surrogate-Assisted MODE with Self-Adaptive Strategies for OPHR Problem. GECCO Companion 2024: 643-646 - 2022
- [j104]Gongshu Wang, Qingxin Guo, Wenjie Xu, Lixin Tang:
A graph partitioning based cooperative coevolution for the batching problem in steelmaking production. Int. J. Prod. Res. 60(19): 5876-5891 (2022) - 2021
- [j95]Qingxin Guo, Lixin Tang, Jiyin Liu, Shengnan Zhao:
Continuous-time formulation and differential evolution algorithm for an integrated batching and scheduling problem in aluminium industry. Int. J. Prod. Res. 59(10): 3169-3184 (2021) - 2019
- [j81]Qingxin Guo, Lixin Tang:
Modelling and discrete differential evolution algorithm for order rescheduling problem in steel industry. Comput. Ind. Eng. 130: 586-596 (2019) - 2016
- [c47]Shengnan Zhao, Yang Yang, Qingxin Guo, Lixin Tang:
A differential evolution algorithm with double-mode crossover for supply chain scheduling in cold rolling. CEC 2016: 1062-1069 - [c42]Zuo-cheng Li, Qingxin Guo, Lixin Tang:
An effective DE-EDA for permutation flow-shop scheduling problem. CEC 2016: 2927-2934 - 2015
- [j58]Qingxin Guo, Lixin Tang:
An improved scatter search algorithm for the single machine total weighted tardiness scheduling problem with sequence-dependent setup times. Appl. Soft Comput. 29: 184-195 (2015) - 2013
- [c39]Yun Dong, Qingxin Guo, Lixin Tang:
A pointer-based discrete differential evolution. IEEE Congress on Evolutionary Computation 2013: 3064-3071 - 2009
- [c28]Qingxin Guo, Lixin Tang:
A scatter search based heuristic for the balancing of parallel assembly lines. CDC 2009: 6256-6261
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last updated on 2024-08-23 19:28 CEST by the dblp team
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