Leaderboards/Advanced Manufacturing and Logistics Optimization

Advanced Manufacturing and Logistics Optimization

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Changwei Miao
Chengdu University of Technology
2
M. Eswaran
ITPEnergised Group (India)
3
Fei Yu
China University of Geosciences
4
Candice Destouet
Institut de Recherches sur la Catalyse et l'Environnement de Lyon
5
Pablo Pérez-Gosende
Politecnica Salesiana University
6
Weng Chun Tan
Coventry University
7
Weihua Tan
Hunan University of Science and Technology
8
Cong Luo
Huazhong University of Science and Technology
9
Josip Tomo Licardo
Juraj Dobrila University of Pula
10
Matthias Klar
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau

Rising Stars Papers

1
Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends
Electronics|2024
185 cit.
2
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Swarm and Evolutionary Computation|2024
66 cit.
3
Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources
Journal of Industrial Information Integration|2024
50 cit.
4
Affinity Propagation Hierarchical Memetic Algorithm for Multimodal Multiobjective Flexible Job Shop Scheduling With Variable Speed
IEEE Transactions on Evolutionary Computation|2025
34 cit.
5
Multi-objective sustainable flexible job shop scheduling problem: Balancing economic, ecological, and social criteria
Computers & Industrial Engineering|2024
30 cit.
6
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.
7
Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning
Journal of Manufacturing Systems|2024
21 cit.
8
A Method for Extracting BPMN Models from Textual Descriptions Using Natural Language Processing
Procedia Computer Science|2024
20 cit.
9
AR/VR assisted integrated framework of autonomous disassembly system for industrial products
Computers & Industrial Engineering|2024
18 cit.
10
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.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Felix Weidinger
Technische Universität Darmstadt
2
Zhongshi Shao
Shaanxi Normal University
3
Leilei Meng
Liaocheng University
4
Mukund Nilakantan Janardhanan
University of Warwick
5
Jianlin Fu
Xi'an Jiaotong University
6
Lei Wang
Wuhan University of Technology
7
Yaqiong Lv
Wuhan University of Technology
8
Quan-Ke Pan
Shanghai University
9
Weishi Shao
Shaanxi Normal University
10
Lucas P. Veelenturf
Erasmus University Rotterdam

Emerging Leaders Papers

1
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Swarm and Evolutionary Computation|2022
129 cit.
2
A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
International Journal of Production Research|2022
118 cit.
3
Vibration signal-based early fault prognosis: Status quo and applications
Advanced Engineering Informatics|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
Liang Gao
Huazhong University of Science and Technology
2
Paolo Toth
Technische Universität Braunschweig
3
Quan-Ke Pan
Shanghai University
4
M. Zandieh
Shahid Beheshti University
5
René de Koster
Erasmus University Rotterdam
6
George Q. Huang
Hong Kong Polytechnic University
7
Ling Wang
Tsinghua University
8
Gilbert Laporte
University of Bath
9
Chelliah Sriskandarajah
Mitchell Institute
10
Daniele Vigo
University of Bologna

Current Senior Leaders Papers

1
Knapsack Problems: Algorithms and Computer Implementations
Journal of the Operational Research Society|1991
3.2k cit.
2
The vehicle routing problem: An overview of exact and approximate algorithms
European Journal of Operational Research|1992
1.7k cit.
3
A Tabu Search Heuristic for the Vehicle Routing Problem
PolyPublie (École Polytechnique de Montréal)|1994
1.2k cit.
4
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence|2006
1.1k cit.
5
Fifty Years of Vehicle Routing
Transportation Science|2009
981 cit.
6
Models, relaxations and exact approaches for the capacitated vehicle routing problem
Discrete Applied Mathematics|2002
971 cit.
7
The traveling salesman problem: An overview of exact and approximate algorithms
European Journal of Operational Research|1992
956 cit.
8
The dial-a-ride problem: models and algorithms
Annals of Operations Research|2007
866 cit.
9
A Survey of Machine Scheduling Problems with Blocking and No-Wait in Process
Operations Research|1996
851 cit.
10
A Survey of Optimization Models for Train Routing and Scheduling
Transportation Science|1998
778 cit.

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