Lixin Tang
Orcid: 0000-0002-9950-5169Affiliations:
- Northeastern University, Shenyang, Liaoning, China
According to our database1,
Lixin Tang authored at least 181 papers
between 2000 and 2026.
Collaborative distances:
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Bibliography
2026
Spatio-Temporal Series Prediction Based on Multi-Objective Evolutionary Deep Convolutional Echo State Networks.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2026
Data-Driven and Decomposition-Based Multiobjective Multitask Optimization for Automotive Shape Design Problem.
IEEE Trans. Evol. Comput., June, 2026
Topological Elastic Graph Convolutional Networks for Spatial-Temporal Sequence Forecasting.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026
Evolutionary Direction Learning With Multivariate Gaussian Probabilistic Model for Multiobjective Optimization.
IEEE Trans. Evol. Comput., April, 2026
IEEE Trans. Cybern., March, 2026
TFT-CPI: A Novel Feature-Enhanced Model for Compound-Protein Interaction Prediction Based on Topology and Fractal Theory.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2026
Structure-Based Robust Fractal Graph Neural Network with Molecular Fingerprint BERT for Molecular Property Prediction.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2026
A Decomposition Optimization-Based Multiobjective Reinforcement Learning Algorithm for Obtaining Nonconvex Pareto Fronts.
IEEE Trans. Neural Networks Learn. Syst., January, 2026
IEEE Trans Autom. Sci. Eng., 2026
A Reinforcement Learning-Based Lagrangian Decomposition Approach for Energy-Oriented Scheduling Optimization in Steelmaking Process.
IEEE Trans Autom. Sci. Eng., 2026
2025
Enhanced Protein Secondary Structure Prediction Through Multi-View Multi-Feature Evolutionary Deep Fusion Method.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2025
Deep Reinforcement Learning With Integer Optimization for Dynamic Slab Assignment Problem.
IEEE Trans. Control. Syst. Technol., September, 2025
Multiobjective Evolutionary Learning for Multitask Quality Prediction Problems in Continuous Annealing Process.
IEEE Trans. Neural Networks Learn. Syst., August, 2025
Adaptative Scaler-Moment Crystal Graph Attention Neural Network for Material Property Prediction.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2025
A Dual Mutation-Based Evolutionary Algorithm for Dynamic Multiobjective Optimization With Undetectable Changes.
IEEE Trans. Evol. Comput., August, 2025
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025
MOEA/D With Spatial-Temporal Topological Tensor Prediction for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., June, 2025
An Off-Policy Reinforcement Learning-Based Adaptive Optimization Method for Dynamic Resource Allocation Problem.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
A Multiobjective Evolutionary Multiscale Transformer Incorporating Fractal Features for Steel Materials Quality Analytics.
IEEE Trans. Image Process., 2025
Building Accurate Exchange-Correlation Functional for Density Functional Theory Through Data Analytics and Optimization.
IEEE Trans Autom. Sci. Eng., 2025
Tree Search Reinforcement Learning for Two-Dimensional Cutting Stock Problem With Complex Constraints.
IEEE Trans Autom. Sci. Eng., 2025
A Combination Feature-Based Reinforcement Learning Approach via Mathematical Optimization.
IEEE Trans Autom. Sci. Eng., 2025
A Hybrid Method Based on Multi-Agent Reinforcement Learning and Integer Programming for Dynamic Slab Design Problems in Steel Industry.
IEEE Trans Autom. Sci. Eng., 2025
Optimization of Energy-Constrained Task Assignment and Resource Allocation Under End-Edge-Cloud Collaborative Framework.
IEEE Internet Things J., 2025
A reinforcement learning based Lagrangian relaxation algorithm for multi-energy allocation problem in steel enterprise.
Comput. Chem. Eng., 2025
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025
A Learning-assisted Discrete Differential Evolution for Resource Constrained Project Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025
2024
Multiobjective Ensemble Learning With Multiscale Data for Product Quality Prediction in Iron and Steel Industry.
IEEE Trans. Evol. Comput., August, 2024
Scheduling of Continuous Annealing With a Multi-Objective Differential Evolution Algorithm Based on Deep Reinforcement Learning.
IEEE Trans Autom. Sci. Eng., April, 2024
A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking Process.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
An Estimation of Distribution Algorithm With Resampling and Local Improvement for an Operation Optimization Problem in Steelmaking Process.
IEEE Trans. Syst. Man Cybern. Syst., 2024
Evolutionary modeling approach based on multiobjective genetic programming for strip quality prediction.
Swarm Evol. Comput., 2024
A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization.
Swarm Evol. Comput., 2024
INFORMS J. Comput., 2024
Exploring a Small Molecule Property Prediction Model with Optimal Comprehensive Performance through Multi-Objective Optimization Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
An Enhanced Surrogate-Assisted Multi-Objective Differential Evolution Algorithm with Self-Adaptive Strategies for Order Planning in Hot Rolling Process: Surrogate-Assisted MODE with Self-Adaptive Strategies for OPHR Problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
A metaheuristic algorithm for a locomotive routing problem arising in the steel industry.
Eur. J. Oper. Res., July, 2023
Solving the Single-Row Facility Layout Problem by K-Medoids Memetic Permutation Group.
IEEE Trans. Evol. Comput., April, 2023
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer.
IEEE Trans. Evol. Comput., February, 2023
A Novel Operation Optimization Method Based on Mechanism Analytics for the Quality of Molten Steel in the BOF Steelmaking Process.
IEEE Trans Autom. Sci. Eng., 2023
2022
A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Memetic Algorithm Based on Probability Learning for Solving the Multidimensional Knapsack Problem.
IEEE Trans. Cybern., 2022
Strip Hardness Prediction in Continuous Annealing Using Multiobjective Sparse Nonlinear Ensemble Learning With Evolutionary Feature Selection.
IEEE Trans Autom. Sci. Eng., 2022
IEEE Trans Autom. Sci. Eng., 2022
Improvement of Kriging interpolation with learning kernel in environmental variables study.
Int. J. Prod. Res., 2022
A graph partitioning based cooperative coevolution for the batching problem in steelmaking production.
Int. J. Prod. Res., 2022
2021
IEEE Trans Autom. Sci. Eng., 2021
Color-Coating Scheduling With a Multiobjective Evolutionary Algorithm Based on Decomposition and Dynamic Local Search.
IEEE Trans Autom. Sci. Eng., 2021
Inf. Sci., 2021
An exact algorithm for the unidirectional quay crane scheduling problem with vessel stability.
Eur. J. Oper. Res., 2021
Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods.
CoRR, 2021
Black box operation optimization of basic oxygen furnace steelmaking process with derivative free optimization algorithm.
Comput. Chem. Eng., 2021
2020
Multiobjective Differential Evolution With Personal Archive and Biased Self-Adaptive Mutation Selection.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Model and Heuristic Solutions for the Multiple Double-Load Crane Scheduling Problem in Slab Yards.
IEEE Trans Autom. Sci. Eng., 2020
A Stacked Autoencoder With Sparse Bayesian Regression for End-Point Prediction Problems in Steelmaking Process.
IEEE Trans Autom. Sci. Eng., 2020
Inf. Sci., 2020
MOEA/D with a self-adaptive weight vector adjustment strategy based on chain segmentation.
Inf. Sci., 2020
Soft constraint handling for a real-world multiobjective energy distribution problem.
Int. J. Prod. Res., 2020
Int. J. Prod. Res., 2020
2019
Adaptive Multiobjective Differential Evolution With Reference Axis Vicinity Mechanism.
IEEE Trans. Cybern., 2019
A Dynamic Analytics Method Based on Multistage Modeling for a BOF Steelmaking Process.
IEEE Trans Autom. Sci. Eng., 2019
Furnace operation optimization with hybrid model based on mechanism and data analytics.
Soft Comput., 2019
Integrated Scheduling of Production and Two-Stage Delivery of Make-to-Order Products: Offline and Online Algorithms.
INFORMS J. Comput., 2019
Least squares support vector machine with self-organizing multiple kernel learning and sparsity.
Neurocomputing, 2019
Eur. J. Oper. Res., 2019
Modelling and discrete differential evolution algorithm for order rescheduling problem in steel industry.
Comput. Ind. Eng., 2019
A Multi-Objective Evolutionary Algorithm for Multi-Energy Allocation Problem Considering Production Changeover in the Integrated Iron and Steel Enterprise.
IEEE Access, 2019
A Hybrid Metaheuristic for the Task Assignment Problem in Parallel and Distributed Systems.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019
2018
Robust policies for a multi-stage production/inventory problem with switching costs and uncertain demand.
Int. J. Prod. Res., 2018
Energy consumption diagnosis in the iron and steel industry via the Kalman filtering algorithm with a data-driven model.
Sci. China Inf. Sci., 2018
Integrated scheduling of rolling sector in steel production with consideration of energy consumption under time-of-use electricity prices.
Comput. Chem. Eng., 2018
Modeling and solution for steelmaking scheduling with batching decisions and energy constraints.
Comput. Chem. Eng., 2018
Comput. Chem. Eng., 2018
2017
INFORMS J. Comput., 2017
Novel time-space network flow formulation and approximate dynamic programming approach for the crane scheduling in a coil warehouse.
Eur. J. Oper. Res., 2017
Competitive two-agent scheduling with deteriorating jobs on a single parallel-batching machine.
Eur. J. Oper. Res., 2017
A machine-learning based memetic algorithm for the multi-objective permutation flowshop scheduling problem.
Comput. Oper. Res., 2017
Asia Pac. J. Oper. Res., 2017
2016
Manuf. Serv. Oper. Manag., 2016
An adaptive multi-population differential evolution algorithm for continuous multi-objective optimization.
Inf. Sci., 2016
Comput. Chem. Eng., 2016
Appl. Math. Comput., 2016
A differential evolution algorithm with double-mode crossover for supply chain scheduling in cold rolling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A contribution-guided discrete differential evolution algorithm for the quadratic multiple knapsack problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Energy consumption prediction for steelmaking production using PSO-based BP neural network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A subpopulation-based differential evolution algorithm for scheduling with batching decisions in steelmaking-continuous casting production.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A multi-objective differential evolution algorithm with memory based population construction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
IEEE Trans. Evol. Comput., 2015
J. Glob. Optim., 2015
An improved scatter search algorithm for the single machine total weighted tardiness scheduling problem with sequence-dependent setup times.
Appl. Soft Comput., 2015
A stabilized finite volume method for Stokes equations using the lowest order P 1 - P 0 element pair.
Adv. Comput. Math., 2015
2014
An Improved Differential Evolution Algorithm for Practical Dynamic Scheduling in Steelmaking-Continuous Casting Production.
IEEE Trans. Evol. Comput., 2014
Eur. J. Oper. Res., 2014
2013
Generation Scheduling Under a CO<sub>2</sub> Emission Reduction Policy in the Deregulated Market.
IEEE Trans. Engineering Management, 2013
A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2013
Solution method for the location planning problem of logistics park with variable capacity.
Comput. Oper. Res., 2013
A two-stage stochastic mixed-integer program for the capacitated logistics fortification planning under accidental disruptions.
Comput. Ind. Eng., 2013
An improved Benders decomposition algorithm for the logistics facility location problem with capacity expansions.
Ann. Oper. Res., 2013
Lagrangian decomposition and second-order cone programming based warehouse storage planning problem.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Benders approach for the raw material transportation scheduling problem in steel industry.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
A novel hybrid Differential Evolution-Estimation of Distribution Algorithm for dynamic optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Modeling and Solution for the Coil Sequencing Problem in Steel Color-Coating Production.
IEEE Trans. Control. Syst. Technol., 2012
Comput. Oper. Res., 2012
A discrete particle swarm optimization algorithm with self-adaptive diversity control for the permutation flowshop problem with blocking.
Appl. Soft Comput., 2012
A Filter and Fan Based Algorithm for Slab Rehandling Problem in MPA of Steel Industry.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
Energy Consumption Prediction in Ironmaking Process Using Hybrid Algorithm of SVM and PSO.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
A Scatter Search Algorithm for a Multistage Production Scheduling Problem With Blocking and Semi-Continuous Batching Machine.
IEEE Trans. Control. Syst. Technol., 2011
Scheduling a single machine with multiple job processing ability to minimize makespan.
J. Oper. Res. Soc., 2011
A new Lagrangian Relaxation Algorithm for scheduling dissimilar parallel machines with release dates.
Int. J. Syst. Sci., 2011
Performance analysis of rotation schedule and improved strategy for open shop problem to minimise makespan.
Int. J. Syst. Sci., 2011
Two-machine flowshop scheduling with intermediate transportation under job physical space consideration.
Comput. Oper. Res., 2011
A PSO-Based Hybrid Multi-Objective Algorithm for Multi-Objective Optimization Problems.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011
2010
An Improved Particle Swarm Optimization Algorithm for the Hybrid Flowshop Scheduling to Minimize Total Weighted Completion Time in Process Industry.
IEEE Trans. Control. Syst. Technol., 2010
A Two-Phase Heuristic for the Production Scheduling of Heavy Plates in Steel Industry.
IEEE Trans. Control. Syst. Technol., 2010
A hybrid metaheuristic for the prize-collecting single machine scheduling problem with sequence-dependent setup times.
Comput. Oper. Res., 2010
An efficient optimal solution to the coil sequencing problem in electro-galvanizing line.
Comput. Oper. Res., 2010
Modelling and a segmented dynamic programming-based heuristic approach for the slab stack shuffling problem.
Comput. Oper. Res., 2010
A two-stage flow shop scheduling problem on a batching machine and a discrete machine with blocking and shared setup times.
Comput. Oper. Res., 2010
Steelmaking and refining coordinated scheduling problem with waiting time and transportation consideration.
Comput. Ind. Eng., 2010
An Improved Particle Swarm Optimization for Permutation Flowshop Scheduling Problem with Total Flowtime Criterion.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
2009
Pattern Recognit. Lett., 2009
Minimizing makespan in a two-machine flowshop scheduling with batching and release time.
Math. Comput. Model., 2009
Dynamically scheduling ships to multiple continuous berth spaces in an iron and steel complex.
Int. Trans. Oper. Res., 2009
Eur. J. Oper. Res., 2009
A population-based variable neighborhood search for the single machine total weighted tardiness problem.
Comput. Oper. Res., 2009
A tabu search heuristic for the hybrid flowshop scheduling with finite intermediate buffers.
Comput. Oper. Res., 2009
Flowshop scheduling problems with transportation or deterioration between the batching and single machines.
Comput. Ind. Eng., 2009
A Tabu Search Algorithm for the Integrated Truck Scheduling and Storage Allocation in Quay.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
Hybrid Scatter Search and Tabu Search for the Mother Plate Design Problem in the Iron and Steel Industry.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
A Branch-and-Price Algorithm for the Dynamic Inventory Slab Allocation Problem in the Steel Industry.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
An Effective Tabu Search Based Algorithm for Integrated Pickling-Rolling Scheduling and Coil Shuffling in Iron and Steel Industry.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
Local Search Heuristic for Multiple Objective Coil Scheduling Problem on Unrelated Parallel Machines.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
A Lagrangian Relaxation Approach for Unit Commitment with Stochastic Disruption Management.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
A simplified scatter search for a special single machine scheduling problem to minimize total weighted tardiness.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
IEEE Trans Autom. Sci. Eng., 2008
An iterated local search heuristic for the capacitated prize-collecting travelling salesman problem.
J. Oper. Res. Soc., 2008
Raw material inventory solution in iron and steel industry using Lagrangian relaxation.
J. Oper. Res. Soc., 2008
Proceedings of the International Workshop on Knowledge Discovery and Data Mining, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
A Hybrid VNS with TS for the Single Machine Scheduling Problem to Minimize the Sum of Weighted Tardiness of Jobs.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
Proceedings of the Computing and Combinatorics, 14th Annual International Conference, 2008
Proceedings of the Computing and Combinatorics, 14th Annual International Conference, 2008
Proceedings of the Computing and Combinatorics, 14th Annual International Conference, 2008
2007
A mathematical programming model and solution for scheduling production orders in Shanghai Baoshan Iron and Steel Complex.
Eur. J. Oper. Res., 2007
Comput. Oper. Res., 2007
Hybrid backward and forward dynamic programming based Lagrangian relaxation for single machine scheduling.
Comput. Oper. Res., 2007
A branch-and-price algorithm to solve the molten iron allocation problem in iron and steel industry.
Comput. Oper. Res., 2007
2006
Lagrangian relaxation algorithms for real-time hybrid flowshop scheduling with finite intermediate buffers.
J. Oper. Res. Soc., 2006
J. Intell. Manuf., 2006
A case of rule-based heuristics for scheduling hot rolling seamless steel tube production.
Expert Syst. J. Knowl. Eng., 2006
A new Lagrangian relaxation algorithm for hybrid flowshop scheduling to minimize total weighted completion time.
Comput. Oper. Res., 2006
2005
A neural network model and algorithm for the hybrid flow shop scheduling problem in a dynamic environment.
J. Intell. Manuf., 2005
A tabu search algorithm based on new block properties and speed-up method for permutation flow-shop with finite intermediate storage.
J. Intell. Manuf., 2005
2001
An effective heuristic algorithm to minimise stack shuffles in selecting steel slabs from the slab yard for heating and rolling.
J. Oper. Res. Soc., 2001
A review of planning and scheduling systems and methods for integrated steel production.
Eur. J. Oper. Res., 2001
2000
A mathematical programming model for scheduling steelmaking-continuous casting production.
Eur. J. Oper. Res., 2000
A multiple traveling salesman problem model for hot rolling scheduling in Shanghai Baoshan Iron & Steel Complex.
Eur. J. Oper. Res., 2000