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Yongliang Lu
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2020 – today
- 2024
- [j18]Qinghua Wu, Mu He, Jin-Kao Hao
, Yongliang Lu:
An effective hybrid evolutionary algorithm for the clustered orienteering problem. Eur. J. Oper. Res. 313(2): 418-434 (2024) - [j17]Mu He, Qinghua Wu, Una Benlic, Yongliang Lu, Yuning Chen:
An effective multi-level memetic search with neighborhood reduction for the clustered team orienteering problem. Eur. J. Oper. Res. 318(3): 778-801 (2024) - [j16]Yanchao Zhang
, Ziyi Yan, Junfeng Gao, Yiyang Shen, Haozhe Zhou, Wei Tang, Yongliang Lu, Yongjie Yang:
UAV imaging hyperspectral for barnyard identification and spatial distribution in paddy fields. Expert Syst. Appl. 255: 124771 (2024) - [j15]Yongliang Lu, Una Benlic, Qinghua Wu
:
An effective hybrid evolutionary algorithm for the set orienteering problem. Inf. Sci. 654: 119813 (2024) - 2023
- [j14]Qinghua Wu, Zhe Sun, Una Benlic, Yongliang Lu:
A parallel adaptive memory algorithm for the capacitated modular hub location problem. Comput. Oper. Res. 153: 106173 (2023) - 2022
- [j13]Yanchao Zhang
, Wen Yang, Wenbo Zhang, Jiya Yu, Jianxin Zhang, Yongjie Yang, Yongliang Lu, Wei Tang:
Two-step ResUp&Down generative adversarial network to reconstruct multispectral image from aerial RGB image. Comput. Electron. Agric. 192: 106617 (2022) - [j12]Yongliang Lu, Una Benlic, Qinghua Wu
:
A hybrid evolutionary algorithm for the capacitated minimum spanning tree problem. Comput. Oper. Res. 144: 105799 (2022) - [j11]Mu He, Qinghua Wu, Yongliang Lu:
Breakout local search for the cyclic cutwidth minimization problem. J. Heuristics 28(5): 583-618 (2022) - [j10]Yongliang Lu, Jin-Kao Hao
, Qinghua Wu:
Solving the clustered traveling salesman problem via traveling salesman problem methods. PeerJ Comput. Sci. 8: e972 (2022) - 2021
- [j9]Yongliang Lu, Una Benlic, Qinghua Wu:
A highly effective hybrid evolutionary algorithm for the covering salesman problem. Inf. Sci. 564: 144-162 (2021) - 2020
- [j8]Yongliang Lu, Una Benlic, Qinghua Wu:
An effective memetic algorithm for the generalized bike-sharing rebalancing problem. Eng. Appl. Artif. Intell. 95: 103890 (2020) - [i1]Yongliang Lu, Jin-Kao Hao, Qinghua Wu:
Solving the Clustered Traveling Salesman Problem via TSP methods. CoRR abs/2007.05254 (2020)
2010 – 2019
- 2019
- [j7]Yanchao Zhang
, Junfeng Gao
, Haiyan Cen, Yongliang Lu, Xiaoyue Yu, Yong He, Jan G. Pieters:
Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop. Comput. Electron. Agric. 159: 42-49 (2019) - [j6]Yongliang Lu, Una Benlic, Qinghua Wu:
A population algorithm based on randomized tabu thresholding for the multi-commodity pickup-and-delivery traveling salesman problem. Comput. Oper. Res. 101: 285-297 (2019) - [j5]Yongliang Lu, Una Benlic, Qinghua Wu, Bo Peng:
Memetic algorithm for the multiple traveling repairman problem with profits. Eng. Appl. Artif. Intell. 80: 35-47 (2019) - [j4]Yongliang Lu, Jin-Kao Hao, Qinghua Wu:
Hybrid evolutionary search for the traveling repairman problem with profits. Inf. Sci. 502: 91-108 (2019) - 2018
- [j3]Yongliang Lu, Una Benlic, Qinghua Wu:
A hybrid dynamic programming and memetic algorithm to the Traveling Salesman Problem with Hotel Selection. Comput. Oper. Res. 90: 193-207 (2018) - [j2]Yongliang Lu, Una Benlic, Qinghua Wu:
Multi-restart iterative search for the pickup and delivery traveling salesman problem with FIFO loading. Comput. Oper. Res. 97: 18-30 (2018) - [j1]Yongliang Lu, Una Benlic, Qinghua Wu:
A memetic algorithm for the Orienteering Problem with Mandatory Visits and Exclusionary Constraints. Eur. J. Oper. Res. 268(1): 54-69 (2018)
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last updated on 2024-08-15 23:46 CEST by the dblp team
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