World's Best Scientists 2026 revealed!

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Computer Science

D-Index
47
Citations
9204
World Ranking
6475
National Ranking
862

Mathematics

D-Index
47
Citations
8799
World Ranking
1272
National Ranking
69

Overview

Lixin Tang is affiliated with Northeastern University in China and works primarily in the fields of Engineering and Computer Science. Their research output shows a strong focus on industrial and manufacturing engineering as well as artificial intelligence and control and systems engineering.

Their scholarly work encompasses a broad range of topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Scheduling and Optimization Algorithms
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Packing Problems
  • Machine Learning in Materials Science
  • Fault Detection and Control Systems

Among their recent papers, notable publications include:

  • "Labor costs and the adoption of robots in China" (2020) published in Journal of Economic Behavior & Organization
  • "Data analytics and optimization for smart industry" (2020) published in Frontiers of Engineering Management
  • "A reinforcement learning approach for dynamic multi-objective optimization" (2020) published in Information Sciences
  • "A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace" (2021) published in IEEE Transactions on Neural Networks and Learning Systems
  • "Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer" (2022) published in IEEE Transactions on Evolutionary Computation

Lixin Tang frequently collaborates with several coauthors, including:

  • Ying Meng
  • Xianpeng Wang
  • Jiyin Liu
  • Xiangman Song
  • Chang Liu

Their extensive publication record includes contributions to several prominent venues such as:

  • IEEE Transactions on Automation Science and Engineering
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • IEEE Transactions on Evolutionary Computation
  • SSRN Electronic Journal
  • IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • A review of planning and scheduling systems and methods for integrated steel production

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • A multiple traveling salesman problem model for hot rolling scheduling in Shanghai Baoshan Iron & Steel Complex

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • A mathematical programming model for scheduling steelmaking-continuous casting production

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • Differential Evolution With an Individual-Dependent Mechanism

    Lixin Tang;Yun Dong;Jiyin Liu

  • An Improved Differential Evolution Algorithm for Practical Dynamic Scheduling in Steelmaking-Continuous Casting Production

    Lixin Tang;Yue Zhao;Jiyin Liu

  • Steel-making process scheduling using Lagrangian relaxation

    Lixin Tang;Peter B. Luh;Jiyin Liu;Lei Fang

  • A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems

    Lixin Tang;Xianpeng Wang

  • Scheduling a hybrid flowshop with batch production at the last stage

    Hua Xuan;Lixin Tang

  • A reinforcement learning approach for dynamic multi-objective optimization

    Fei Zou;Gary G. Yen;Lixin Tang;Chunfeng Wang

  • Modeling and solution of the joint quay crane and truck scheduling problem

    Lixin Tang;Jiao Zhao;Jiyin Liu

  • A two-stage flow shop scheduling problem on a batching machine and a discrete machine with blocking and shared setup times

    Hua Gong;Lixin Tang;C. W. Duin

  • A new hybrid ant colony optimization algorithm for the vehicle routing problem

    Xiaoxia Zhang;Lixin Tang

  • A multi-objective model for purchasing of bulk raw materials of a large-scale integrated steel plant

    Zhen Gao;Lixin Tang

  • A neural network model and algorithm for the hybrid flow shop scheduling problem in a dynamic environment

    Lixin Tang;Wenxin Liu;Jiyin Liu

  • Iterated local search algorithm based on very large-scale neighborhood for prize-collecting vehicle routing problem

    Lixin Tang;Xianpeng Wang

  • Modelling and a genetic algorithm solution for the slab stack shuffling problem when implementing steel rolling schedules

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • A new Lagrangian relaxation algorithm for hybrid flowshop scheduling to minimize total weighted completion time

    Lixin Tang;Hua Xuan;Jiyin Liu

  • Decision support system for the batching problems of steelmaking and continuous-casting production

    Lixin Tang;Gongshu Wang

  • A tabu search heuristic for the hybrid flowshop scheduling with finite intermediate buffers

    Xianpeng Wang;Lixin Tang

  • An improved Benders decomposition algorithm for the logistics facility location problem with capacity expansions

    Lixin Tang;Wei Jiang;Georgios K. D. Saharidis

  • A population-based variable neighborhood search for the single machine total weighted tardiness problem

    Xianpeng Wang;Lixin Tang

Frequent Co-Authors

Jiyin Liu
Jiyin Liu Loughborough University
Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Zhi-Long Chen
Zhi-Long Chen University of Maryland, College Park
Gary G. Yen
Gary G. Yen Oklahoma State University
Joseph Y.-T. Leung
Joseph Y.-T. Leung New Jersey Institute of Technology
Luquan Ren
Luquan Ren Jilin University
Zhe George Zhang
Zhe George Zhang Western Washington University
Zhongchang Wang
Zhongchang Wang International Iberian Nanotechnology Laboratory
Efstratios N. Pistikopoulos
Efstratios N. Pistikopoulos Texas A&M University
Peter B. Luh
Peter B. Luh University of Connecticut

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