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兰州理工大学 [16]

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限定条件	专题：兰州理工大学第一署名单位第一作者单位通讯作者单位

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	A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows 期刊论文 Expert Systems with Applications, 2022, 卷号: 198 作者: Zhu, Ningning; Zhao, Fuqing; Wang, Ling; Ding, Ruiqing; Xu, Tianpeng 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/04/21 Fruits Iterative methods Job shop scheduling Learning algorithms Local search (optimization) Machine shop practice Manufacture Distributed no-wait flow-shop Due-window Fruit fly optimization Fruitflies Knowledge model No-wait flowshop Optimisations Probability knowledge model Variable neighborhood descend Variable neighbourhoods
	A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem 期刊论文 IEEE Transactions on Cybernetics, 2022, 页码: 1-14 作者: Zhao, Fuqing; Di, Shilu; Wang, Ling 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/09/22 Carbon Energy efficiency Heuristic algorithms Job shop scheduling Machine shop practice Planning > $Q$ -learning Blocking flow shops Distributed blocking flow shop scheduling Energy-consumption Flow-shop scheduling Heuristics algorithm Hyper-heuristics Index Job-Shop scheduling Optimisations Production facility Q-learning Total energy Total energy consumption Total tardiness Xmlns:mml=" Xmlns:xlink=" Xmlns:xsi="
	An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem 期刊论文 Applied Soft Computing, 2021, 卷号: 112 作者: Zhao, Fuqing; Zhao, Jinlong; Wang, Ling; Tang, Jianxin 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/02/17 Learning algorithms Machine shop practice Manufacture Scheduling Backtracking search algorithms Effective algorithms Flow shop scheduling problem Mutation operations Mutation strategy No-wait flow-shop scheduling Optimal solutions State-of-the-art algorithms
	A hybrid method for short-term wind speed forecasting based on Bayesian optimization and error correction 期刊论文 JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2021, 卷号: 13, 期号: 3 作者: Guo, Xiuting; Zhu, Changsheng; Hao, Jie; Zhang, Shengcai; Zhu, Lina 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/10/14 Error correction Forecasting Machine learning Speed Wavelet transforms Wind power Bayesian optimization algorithms Error correction models Extreme learning machine Hyper-parameter optimizations Large-scale wind power Prediction performance Short-term wind speed forecasting Wind speed prediction
	Prediction of external corrosion rate of oil pipeline based on improved IFA-BPNN 期刊论文 Surface Technology, 2021, 卷号: 50, 期号: 4, 页码: 285-293 作者: Ling, Xiao; Xu, Lu-Shuai; Gao, Jia-Cheng; Ma, Juan-Juan; Ma, He-Qing 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/17 Bioluminescence Corrosion rate Forecasting Genetic algorithms Global optimization Machine learning Mapping MATLAB Particle swarm optimization (PSO) Pipelines Predictive analytics Turing machines Water pipelines Average relative error Comparative analysis Function convergence Long distance pipelines Machine learning models Optimization ability Prediction accuracy Simulation calculation
	A novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing 期刊论文 Applied Intelligence, 2020, 卷号: 50, 期号: 无, 页码: 2833-2847 作者: Peng Chen; Xiaoqiang Zhao; Qixian Zhu 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/11/06 Chaotic systems Computer aided diagnosis Damage detection Failure analysis Fault detection Machine learning Optimization Extreme learning machine Fault detection and classification Global searching ability Heuristic optimization algorithms ICGOA- KELM Intrinsic Mode functions Optimization algorithms Rolling bearings
	Generative adversarial dehaze mapping nets 期刊论文 Pattern Recognition Letters, 2019, 卷号: 119, 页码: 238-244 作者: Li, Ce; Zhao, Xinyu; Zhang, Zhaoxiang; Du, Shaoyi 收藏 \| 浏览/下载：2/0 \| 提交时间：2022/02/17 Learning algorithms Light sources Machine learning Mapping Artificial light source Deep architectures Effective constraints GADMN LMHPM Multiple light scattering Relevant features State-of-the-art methods
	A Differential-Based Harmony Search Algorithm with Variable Neighborhood Search for Job Shop Scheduling Problem and Its Runtime Analysis 期刊论文 IEEE Access, 2018, 卷号: 6, 页码: 76313-76330 作者: Zhao, Fuqing; Qin, Shuo; Yang, Guoqiang; Ma, Weimin; Zhang, Chuck 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/14 Benchmarking Global optimization Intelligent systems Learning algorithms Machine shops Manufacture Scheduling Combinational optimization Global optimization problems Harmony search Harmony search algorithms Job shop scheduling problems Run-time analysis State-of-the-art algorithms Variable neighborhood search
	A hybrid harmony search algorithm with efficient job sequence scheme and variable neighborhood search for the permutation flow shop scheduling problems 期刊论文 Engineering Applications of Artificial Intelligence, 2017, 卷号: 65, 页码: 178-199 作者: Zhao, Fuqing; Liu, Yang; Zhang, Yi; Ma, Weimin; Zhang, Chuck 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/02/17 Benchmarking Combinatorial optimization Hydraulic structures Learning algorithms Machine shop practice Mapping Optimization Production control Scheduling Evolution computation Harmony search Operation research Parameter sensitivities Permutation flow-shop scheduling
	A shuffled complex evolution algorithm with opposition-based learning for a permutation flow shop scheduling problem 期刊论文 International Journal of Computer Integrated Manufacturing, 2015, 卷号: 28, 期号: 11, 页码: 1220-1235 作者: Zhao, Fuqing; Zhang, Jianlin; Wang, Junbiao; Zhang, Chuck 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/02/17 Learning algorithms Machine shop practice NP-hard Polynomial approximation Scheduling Computational results Engineering applications Opposition-based learning Optimisation problems Permutation flow-shop scheduling Sequence mappings Shuffled Complex Evolution Shuffled complex evolution algorithms

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