Hongyan Sang

Orcid: 0000-0001-7476-5039

According to our database1, Hongyan Sang authored at least 77 papers between 2010 and 2025.

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Bibliography

2025
Sustainable optimization of balancing valve settings in urban heating systems with an enhanced Jaya algorithm.
Expert Syst. Appl., 2025

2024
Joint scheduling of AGVs and parallel machines in an automated electrode foil production factory.
Expert Syst. Appl., March, 2024

An effective population-based iterated greedy algorithm for solving the multi-AGV scheduling problem with unloading safety detection.
Inf. Sci., February, 2024

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

A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem.
Swarm Evol. Comput., 2024

A cascaded flowshop joint scheduling problem with makespan minimization: A mathematical model and shifting iterated greedy algorithm.
Swarm Evol. Comput., 2024

A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones.
Swarm Evol. Comput., 2024

The constrained permutation flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness.
Swarm Evol. Comput., 2024

An efficient collaborative multi-swap iterated greedy algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance.
Swarm Evol. Comput., 2024

An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem.
Swarm Evol. Comput., 2024

BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop.
Swarm Evol. Comput., 2024

The cascaded flowshop joint scheduling problem: A mathematical model and population-based iterated greedy algorithm to minimize total tardiness.
Robotics Comput. Integr. Manuf., 2024

Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots.
Int. J. Prod. Res., 2024

Effective metaheuristic and rescheduling strategies for the multi-AGV scheduling problem with sudden failure.
Expert Syst. Appl., 2024

A variable-representation discrete artificial bee colony algorithm for a constrained hybrid flow shop.
Expert Syst. Appl., 2024

An effective multi-restart iterated greedy algorithm for multi-AGVs dispatching problem in the matrix manufacturing workshop.
Expert Syst. Appl., 2024

Self-Adaptive Population-Based Iterated Greedy Algorithm for Distributed Permutation Flowshop Scheduling Problem with Part of Jobs Subject to a Common Deadline Constraint.
Expert Syst. Appl., 2024

Improved Dynamic Q-Learning Algorithm to Solve the Lot-Streaming Flowshop Scheduling Problem with Equal-Size Sublots.
Complex Syst. Model. Simul., 2024

A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem.
Appl. Soft Comput., 2024

An Effective Discrete Jaya Algorithm for Multi-AGVs Scheduling Problem With Dynamic Unloading Time.
IEEE Access, 2024

2023
An effective multi-objective adaptive iterated greedy algorithm for semi-open multi-AGV scheduling problem with charging and maintenance.
Swarm Evol. Comput., December, 2023

A slack speed-up based discrete artificial bee colony algorithm for resource-constrained operating room scheduling problem.
Comput. Ind. Eng., December, 2023

Joint scheduling of parallel machines and AGVs with sequence-dependent setup times in a matrix workshop.
Comput. Ind. Eng., November, 2023

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

Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem.
Knowl. Based Syst., October, 2023

A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems.
Swarm Evol. Comput., July, 2023

Dynamic AGV Scheduling Model With Special Cases in Matrix Production Workshop.
IEEE Trans. Ind. Informatics, June, 2023

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

An effective self-adaptive iterated greedy algorithm for a multi-AGVs scheduling problem with charging and maintenance.
Expert Syst. Appl., April, 2023

Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop.
Swarm Evol. Comput., March, 2023

An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime.
Eng. Appl. Artif. Intell., 2023

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

A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion.
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 improved multi-objective imperialist competitive algorithm for surgical case scheduling problem with switching and preparation times.
Clust. Comput., 2022

An effective multi-AGVs dispatching method applied to matrix manufacturing workshop.
Comput. Ind. Eng., 2022

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

The distributed flowshop scheduling problem with delivery dates and cumulative payoffs.
Comput. Ind. Eng., 2022

An improved iterated greedy algorithm for distributed robotic flowshop scheduling with order constraints.
Comput. Ind. Eng., 2022

2021
Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm.
Int. J. Fuzzy Syst., 2021

A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem.
Eng. Appl. Artif. Intell., 2021

Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm.
Complex Syst. Model. Simul., 2021

Improved Particle Swarm Optimization Algorithm for AGV Path Planning.
IEEE Access, 2021

Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem with Lot-Streaming of Random Breakdown.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

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

2020
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs.
IEEE Trans. Cybern., 2020

Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots.
Swarm Evol. Comput., 2020

Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time.
Appl. Soft Comput., 2020

Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming.
IEEE Access, 2020

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

Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem.
IEEE Access, 2020

2019
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion.
Swarm Evol. Comput., 2019

Self-adaptive fruit fly optimizer for global optimization.
Nat. Comput., 2019

Multi-person pose estimation based on a deep convolutional neural network.
J. Vis. Commun. Image Represent., 2019

An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system.
Int. J. Prod. Res., 2019

Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm.
IEEE CAA J. Autom. Sinica, 2019

Multi-Objective Migrating Birds Optimization Algorithm for Stochastic Lot-Streaming Flow Shop Scheduling With Blocking.
IEEE Access, 2019

Migrating Birds Optimization for Lot-streaming flow shop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem.
Swarm Evol. Comput., 2018

An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem.
Swarm Evol. Comput., 2018

An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems.
J. Intell. Manuf., 2018

A hybrid artificial bee colony algorithm for a flexible job shop scheduling problem with overlapping in operations.
Int. J. Prod. Res., 2018

An Efficient Optimization Algorithm for Resource-Constrained Steelmaking Scheduling Problems.
IEEE Access, 2018

An Improved Discrete Migrating Birds Optimization for Lot-Streaming Flow Shop Scheduling Problem with Blocking.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
A hybrid artificial bee colony for optimizing a reverse logistics network system.
Soft Comput., 2017

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

2016
A Discrete Invasive Weed Optimization Algorithm for the No-Wait Lot-Streaming Flow Shop Scheduling Problems.
Proceedings of the Intelligent Computing Theories and Application, 2016

A Developed NSGA-II Algorithm for Multi-objective Chiller Loading Optimization Problems.
Proceedings of the Intelligent Computing Theories and Application, 2016

2014
An improved fruit fly optimization algorithm for continuous function optimization problems.
Knowl. Based Syst., 2014

Honey bees mating optimization algorithm for process planning problem.
J. Intell. Manuf., 2014

An Iterated Local Search Algorithm for the Lot-Streaming Flow Shop Scheduling Problem.
Asia Pac. J. Oper. Res., 2014

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

2013
A High Performing Memetic Algorithm for the Flowshop Scheduling Problem With Blocking.
IEEE Trans Autom. Sci. Eng., 2013

Erratum to "A discrete colonial competitive algorithm for hybrid flowshop scheduling to minimize earliness and quadric tardiness penalties" [Expert Syst. Appl 38 (2011) 14490-14498].
Expert Syst. Appl., 2013

2012
An efficient discrete artificial bee colony algorithm for total flowtime lot-streaming flowshop.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
A Differential Evolution Algorithm for Lot-Streaming Flow Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

2010
A discrete differential evolution algorithm for lot-streaming flow shop scheduling problems.
Proceedings of the Sixth International Conference on Natural Computation, 2010


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