Biao Zhang

Orcid: 0000-0002-4898-2731

Affiliations:
  • Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
  • Liaocheng University, College of Computer Science, China (former)


According to our database1, Biao Zhang authored at least 41 papers between 2014 and 2024.

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Bibliography

2024
Human-Robot Collaborative Scheduling in Energy-Efficient Welding Shop.
IEEE Trans. Ind. Informatics, January, 2024

Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem.
Comput. Oper. Res., January, 2024

2023
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times.
Swarm Evol. Comput., October, 2023

Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm.
Expert Syst. Appl., May, 2023

Real-time data-driven automatic design of multi-objective evolutionary algorithm: A case study on production scheduling.
Appl. Soft Comput., May, 2023

A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots.
Int. J. Prod. Res., February, 2023

An Improved Genetic Algorithm for Solving the Multi-AGV Flexible Job Shop Scheduling Problem.
Sensors, 2023

2022
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem.
Swarm Evol. Comput., 2022

Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput., 2022

A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds.
IEEE Syst. J., 2022

A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers.
Robotics Comput. Integr. Manuf., 2022

An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Knowl. Based Syst., 2022

An effective metaheuristic with a differential flight strategy for the distributed permutation flowshop scheduling problem with sequence-dependent setup times.
Knowl. Based Syst., 2022

An evolutionary algorithm for a hybrid flowshop scheduling problem with consistent sublots.
Int. J. Autom. Control., 2022

A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop.
Expert Syst. Appl., 2022

An effective discrete invasive weed optimization algorithm for multi-AGVs dispatching problem with specific cases in matrix manufacturing workshop.
Comput. Ind. Eng., 2022

An effective iterative greedy algorithm for distributed blocking flowshop scheduling problem with balanced energy costs criterion.
Appl. Soft Comput., 2022

2021
A Multiobjective Disassembly Planning for Value Recovery and Energy Conservation From End-of-Life Products.
IEEE Trans Autom. Sci. Eng., 2021

A wale optimization algorithm for distributed flow shop with batch delivery.
Soft Comput., 2021

A hybrid algorithm for electric vehicle routing problem with nonlinear charging.
J. Intell. Fuzzy Syst., 2021

A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Int. J. Prod. Res., 2021

A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Appl. Soft Comput., 2021

A green scheduling algorithm for the distributed flowshop problem.
Appl. Soft Comput., 2021

An Improved SMA Algorithm for Solving Global Optimization Problems.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times.
Knowl. Based Syst., 2020

More MILP models for hybrid flow shop scheduling problem and its extended problems.
Int. J. Prod. Res., 2020

Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem.
Comput. Ind. Eng., 2020

MILP Modeling and Optimization of Energy- Efficient Distributed Flexible Job Shop Scheduling Problem.
IEEE Access, 2020

2019
Effective Hot Rolling Batch Scheduling Algorithms in Compact Strip Production.
IEEE Trans Autom. Sci. Eng., 2019

A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling.
Swarm Evol. Comput., 2019

A multi-objective migrating birds optimization algorithm for the hybrid flowshop rescheduling problem.
Soft Comput., 2019

A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem.
Comput. Ind. Eng., 2019

Improved non-maximum suppression for object detection using harmony search algorithm.
Appl. Soft Comput., 2019

Mathematical Modeling and Optimization of Energy-Conscious Flexible Job Shop Scheduling Problem With Worker Flexibility.
IEEE Access, 2019

An Improved Brain Storm Optimization for a Hybrid Renewable Energy System.
IEEE Access, 2019

2018
A hybrid variable neighborhood search algorithm for the hot rolling batch scheduling problem in compact strip production.
Comput. Ind. Eng., 2018

An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process.
Comput. Ind. Eng., 2018

2017
An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming.
Appl. Soft Comput., 2017

2015
An effective hybrid harmony search-based algorithm for solving multidimensional knapsack problems.
Appl. Soft Comput., 2015

2014
A new penalty function method for constrained optimization using harmony search algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014


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