Shengyao Wang
Orcid: 0000-0002-1491-0203
According to our database1,
Shengyao Wang
authored at least 35 papers
between 2011 and 2023.
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Bibliography
2023
Recommending-and-Grabbing: A Crowdsourcing-Based Order Allocation Pattern for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., January, 2023
Solving Stochastic Online Food Delivery Problem via Iterated Greedy Algorithm With Decomposition-Based Strategy.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Three-Dimensional Reconstruction of Secondary Arc Based on Improved Binocular Stereo Vision Method.
IEEE Trans. Instrum. Meas., 2023
2022
An Imitation Learning-Enhanced Iterated Matching Algorithm for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., 2022
2021
An XGBoost-enhanced fast constructive algorithm for food delivery route planning problem.
Comput. Ind. Eng., 2021
Deep Learning Assisted Channel Estimation Refinement in Uplink OFDM Systems Under Time-Varying Channels**This work was supported in part by the National Natural Science Foundation of China (No. 61871327, 61801218 and 61701407), the Natural Science Basic Research Plan in Shaanxi Province of China (No.2018JM6037 and 2018JQ6017).
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Solving Online Food Delivery Problem via an Effective Hybrid Algorithm with Intelligent Batching Strategy.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Signal Detection in Uplink Time-Varying OFDM Systems Using RNN With Bidirectional LSTM.
IEEE Wirel. Commun. Lett., 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Deep Neural Network Assisted Approach for Antenna Selection in Untrusted Relay Networks.
IEEE Wirel. Commun. Lett., 2019
Deep Learning Aided Signal Detection in OFDM Systems with Time-Varying Channels<sup>*</sup>.
Proceedings of the IEEE Pacific Rim Conference on Communications, 2019
2016
An Estimation of Distribution Algorithm-Based Memetic Algorithm for the Distributed Assembly Permutation Flow-Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2016
2015
A knowledge-based multi-agent evolutionary algorithm for semiconductor final testing scheduling problem.
Knowl. Based Syst., 2015
A bi-population EDA for solving the no-idle permutation flow-shop scheduling problem with the total tardiness criterion.
Knowl. Based Syst., 2015
A hybrid estimation of distribution algorithm for the semiconductor final testing scheduling problem.
J. Intell. Manuf., 2015
An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time.
Neurocomputing, 2015
An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem.
Int. J. Comput. Integr. Manuf., 2015
2014
A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem.
Knowl. Based Syst., 2014
An Effective Estimation of Distribution Algorithm for Multi-track Train Scheduling Problem.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A co-evolutionary teaching-learning-based optimization algorithm for stochastic RCPSP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Compact estimation of distribution algorithm for semiconductor final testing scheduling problem.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
2013
A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem.
Knowl. Based Syst., 2013
An estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013
An effective shuffled frog-leaping algorithm for the flexible job-shop scheduling problem.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013
2012
An effective hybrid EDA-based algorithm for solving multidimensional knapsack problem.
Expert Syst. Appl., 2012
A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem.
Comput. Ind. Eng., 2012
2011
An Effective Artificial Bee Colony Algorithm for Multi-objective Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
An Effective Shuffled Frog Leaping Algorithm for Solving Hybrid Flow-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
An Estimation of Distribution Algorithm for the Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011