Bo Liu

Orcid: 0000-0002-6615-6601

Affiliations:
  • 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 51 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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
Interactive Multiobjective Optimization: A Review of the State-of-the-Art.
IEEE Access, 2018

Designing Neural Networks Using Novel Water Wave Optimization Based Memetic Algorithm.
Proceedings of the 14th International Conference on Natural Computation, 2018

Single-Machine Green Scheduling to Minimize Total Flow Time and Carbon Emission.
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
An improved TLBO based memetic algorithm for aerodynamic shape optimization.
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

IIR filters designing by water wave optimization.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

I Ching philosophy inspired optimization.
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

Iterated local search for distributed multiple assembly no-wait flowshop scheduling.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Team effectiveness based optimization.
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
Parameter estimation of nonlinear chaotic system by improved TLBO strategy.
Soft Comput., 2016

Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy.
Knowl. Based Syst., 2016

Scheduling of stochastic distributed assembly flowshop under complex constraints.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A novel improved teaching-learning based optimization for functional optimization.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016

A tabu-based variable neighborhood local search for n-vehicles exploration problem.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016

A novel water wave optimization based memetic algorithm for flow-shop scheduling.
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

Scheduling of no-wait stochastic distributed assembly flowshop by hybrid PSO.
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
Adjustment of basal insulin infusion rate in T1DM by hybrid PSO.
Soft Comput., 2015

2014
Intelligent Closed-Loop Insulin Delivery Systems for ICU Patients.
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
Probabilistic memetic algorithm for flowshop scheduling.
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

A unified framework for population-based metaheuristics.
Ann. Oper. Res., 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

Control of Hénon chaotic systems by chaotic particle swarm optimization.
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
An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Designing Neural Networks Using PSO-Based Memetic Algorithm.
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
Particle swarm optimization for function optimization in noisy environment.
Appl. Math. Comput., 2006

Improved Differential Evolution with Dynamic Population Size.
Proceedings of the Intelligent Computing, 2006

2005
Designing Neural Networks Using Hybrid Particle Swarm Optimization.
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


  Loading...