Chang-Sheng Zhang

Affiliations:
  • Kunming University of Science and Technology, School of Information Engineering and Automation, Kunming, China


According to our database1, Chang-Sheng Zhang authored at least 10 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
A Branch and Bound Algorithm for the Two-Machine Blocking Flowshop Group Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Real-Time Crowdsourced Delivery Optimization Considering Maximum Detour Distance.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Probability Learning Based Multi-objective Evolutionary Algorithm for Distributed No-Wait Flow-Shop and Vehicle Transportation Integrated Optimization Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2018
The Hybrid Shuffle Frog Leaping Algorithm Based on Cuckoo Search for Flow Shop Scheduling with the Consideration of Energy Consumption.
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

2016
An Improved Quantum-Inspired Evolution Algorithm for No-Wait Flow Shop Scheduling Problem to Minimize Makespan.
Proceedings of the Intelligent Computing Theories and Application, 2016

Hybrid Estimation of Distribution Algorithm for No-Wait Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Theories and Application, 2016

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
A Self-adaptive Hybrid Population-Based Incremental Learning Algorithm for M-Machine Reentrant Permutation Flow-Shop Scheduling.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

A hybrid differential evolution algorithm for the multi-objective reentrant job-shop scheduling problem.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013


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