Bo Liu
Orcid: 0000-0002-6615-6601Affiliations:
- Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Center for Forecasting Science, Beijing, China
- Tsinghua University, Department of Automation, Beijing, China
- Beihang University, School of Economics and Management, Beijing, China
- Chinese Academy of Sciences, Center for Chinese Agricultural Policy, Beijing, China
According to our database1,
Bo Liu
authored at least 53 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Distributed Heterogeneous Co-Evolutionary Algorithm for Scheduling a Multistage Fine-Manufacturing System With Setup Constraints.
IEEE Trans. Cybern., March, 2024
2022
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem.
IEEE Trans. Evol. Comput., 2022
2021
Hybrid Whale Optimization Algorithm for Solving Green Open Vehicle Routing Problem with Time Windows.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization.
Neural Comput. Appl., 2020
2019
An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization.
J. Syst. Sci. Complex., 2019
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect.
CoRR, 2019
Two-Stage Algorithm for Solving Multi-depot Green Vehicle Routing Problem with Time Window.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
IEEE Access, 2018
Designing Neural Networks Using Novel Water Wave Optimization Based Memetic Algorithm.
Proceedings of the 14th International Conference on Natural Computation, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Hybrid Estimation of Distribution Algorithm for Blocking Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times.
Proceedings of the Intelligent Computing Theories and Application, 2018
Salp Swarm Algorithm Based on Blocks on Critical Path for Reentrant Job Shop Scheduling Problems.
Proceedings of the Intelligent Computing Theories and Application, 2018
Hybrid Discrete Teaching-Learning-Based Optimization Algorithm for Solving Parallel Machine Scheduling Problem with Multiple Constraints.
Proceedings of the Intelligent Computing Theories and Application, 2018
A Dynamic Generalized Opposition-Based Learning Fruit Fly Algorithm for Function Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Eng. Appl. Artif. Intell., 2017
Variable neighborhood based memetic algorithm for Just-in-Time distributed assembly permutation flowshop scheduling.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Distributed scheduling combined with traveling salesman problem: An iterated local search.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017
Scatter search for distributed assembly flowshop scheduling to minimize total tardiness.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
EDA based probabilistic Memetic Algorithm for distributed blocking permutation flowshop scheduling with sequence dependent setup time.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Soft Comput., 2016
Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy.
Knowl. Based Syst., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
The distributed permutation flowshop scheduling problem with different transport timetables and loading capacities.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A hybrid estimation of distribution algorithm for distributed permutation flowshop scheduling with flowline eligibility.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
2014
IEEE J. Biomed. Health Informatics, 2014
Bayesian Statistical Inference-Based Estimation of Distribution Algorithm for the Re-entrant Job-Shop Scheduling Problem with Sequence-Dependent Setup Times.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
2013
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013
A DE-based algorithm for reentrant permutation flow-shop scheduling with different job reentrant times.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013
2011
Intelligent switching expert system for delayed coking unit based on iterative learning strategy.
Expert Syst. Appl., 2011
2010
An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes.
Comput. Chem. Eng., 2010
Chaotic particle swarm optimization for synchronization of finite dimensional Hénon dynamical system.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010
2008
An Effective PSO-Based Hybrid Algorithm for Multiobjective Permutation Flow Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part A, 2008
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers.
Comput. Oper. Res., 2008
2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
Proceedings of the Advances in Neural Networks, 2007
An Intelligent Differential Evolution Algorithm for Designing Trading-Ratio System of Water Market.
Proceedings of the Advances in Neural Networks, 2007
2006
Appl. Math. Comput., 2006
Proceedings of the Intelligent Computing, 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Hybrid Particle Swarm Optimization for Flow Shop Scheduling with Stochastic Processing Time.
Proceedings of the Computational Intelligence and Security, International Conference, 2005