Leaderboards/Assembly Line Balancing Optimization

Assembly Line Balancing Optimization

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Kun Lei
Southwest Jiaotong University
2
Jiaxin Fan
Huazhong University of Science and Technology
3
Yu Du
China National Petroleum Corporation (China)
4
Candice Destouet
Institut de Recherches sur la Catalyse et l'Environnement de Lyon
5
Fei Yu
China University of Geosciences
6
Qi Yan
Northeastern University
7
Shu Luo
Hunan University
8
Weihua Tan
Hunan University of Science and Technology
9
Runqing Wang
Beijing Institute of Technology
10
Jingru Chang
Chinese Academy of Sciences

Rising Stars Papers

1
Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources
Journal of Industrial Information Integration|2024
50 cit.
2
Multi-objective sustainable flexible job shop scheduling problem: Balancing economic, ecological, and social criteria
Computers & Industrial Engineering|2024
30 cit.
3
A Self-Learning Discrete Artificial Bee Colony Algorithm for Energy-Efficient Distributed Heterogeneous L-R Fuzzy Welding Shop Scheduling Problem
IEEE Transactions on Fuzzy Systems|2024
28 cit.
4
A Learning-Assisted Bi-Population Evolutionary Algorithm for Distributed Flexible Job-Shop Scheduling With Maintenance Decisions
IEEE Transactions on Evolutionary Computation|2024
22 cit.
5
Flexible job-shop scheduling problem with variable lot-sizing: An early release policy-based matheuristic
Computers & Industrial Engineering|2024
16 cit.
6
A matheuristic with re-lot-sizing strategies for flexible job-shop rescheduling problem with lot-streaming and machine reconfigurations
European Journal of Operational Research|2024
16 cit.
7
A Self-Learning Memetic Algorithm for Human-Robot Collaboration Scheduling in Energy-Efficient Distributed Mixed Fuzzy Welding Shop
IEEE Transactions on Automation Science and Engineering|2024
13 cit.
8
A Learning-Based Hybrid Artificial Bee Colony Algorithm for Energy-Efficient Distributed Heterogeneous Type-2 Fuzzy Welding Shop Scheduling Problem With Factory Eligibility
IEEE Transactions on Automation Science and Engineering|2024
13 cit.
9
Self-learning brainstorm optimization for synchronization of operations and maintenance toward dual resource-constrained flexible job shops
Applied Soft Computing|2025
5 cit.
10
Resource allocation based on optimized cellular network AP layout for visible light communication heterogeneous network
The Journal of Supercomputing|2024
4 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Felix Weidinger
Technische Universität Darmstadt
2
Mukund Nilakantan Janardhanan
University of Warwick
3
Zhongshi Shao
Shaanxi Normal University
4
Leilei Meng
Liaocheng University
5
Zhiguang Cao
Singapore Management University
6
Lei Wang
Wuhan University of Technology
7
Weishi Shao
Shaanxi Normal University
8
Quan-Ke Pan
Shanghai University
9
Houbin Song
Lanzhou University of Technology
10
Zikai Zhang
Wuhan University of Science and Technology

Emerging Leaders Papers

1
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning
IEEE Transactions on Industrial Informatics|2022
433 cit.
2
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Swarm and Evolutionary Computation|2022
129 cit.
3
A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
International Journal of Production Research|2022
118 cit.
4
An Improved Genetic Algorithm for Solving the Multi-AGV Flexible Job Shop Scheduling Problem
Sensors|2023
100 cit.
5
Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem
Expert Systems with Applications|2022
92 cit.
6
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times
Swarm and Evolutionary Computation|2023
92 cit.
7
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling
IEEE Transactions on Emerging Topics in Computational Intelligence|2022
75 cit.
8
An effective collaboration evolutionary algorithm for multi-robot task allocation and scheduling in a smart farm
Knowledge-Based Systems|2024
74 cit.
9
A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem
Swarm and Evolutionary Computation|2022
64 cit.
10
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Swarm and Evolutionary Computation|2024
64 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Armin Schöll
Carl Zeiss (Germany)
2
Liang Gao
Huazhong University of Science and Technology
3
Alexandre Dolgui
Laboratoire des Sciences du Numérique de Nantes
4
Ling Wang
Tsinghua University
5
M. Zandieh
Shahid Beheshti University
6
Quan-Ke Pan
Shanghai University
7
Kenneth R. Baker
Dartmouth College
8
Chandrasekharan Rajendran
Indian Institute of Technology Madras
9
S.M.T. Fatemi Ghomi
Amirkabir University of Technology
10
Rubén Ruíz
Asociación de Investigación Metalúrgica del Noroeste

Current Senior Leaders Papers

1
Introduction to Sequencing and Scheduling
Operational Research Quarterly (1970-1977)|1977
2.6k cit.
2
Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak
International Journal of Production Research|2020
1.9k cit.
3
A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0
Production Planning & Control|2020
1.6k cit.
4
International Journal of Production Research
HAL (Le Centre pour la Communication Scientifique Directe)|2013
1.5k cit.
5
Review of quantitative methods for supply chain resilience analysis
Transportation Research Part E Logistics and Transportation Review|2019
1.2k cit.
6
A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
European Journal of Operational Research|2006
1.1k cit.
7
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence|2006
1.1k cit.
8
A survey on problems and methods in generalized assembly line balancing
European Journal of Operational Research|2004
1k cit.
9
Ripple effect in the supply chain: an analysis and recent literature
International Journal of Production Research|2017
858 cit.
10
State-of-the-art exact and heuristic solution procedures for simple assembly line balancing
European Journal of Operational Research|2004
849 cit.

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