Leaderboards/Scheduling and Optimization Algorithms

Scheduling and Optimization Algorithms

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Suwarna Shukla
Management Development Institute
2
Kun Lei
Southwest Jiaotong University
3
Shu Luo
Hunan University
4
Renke Liu
Nanyang Technological University
5
Xiaohan Wang
China University of Petroleum, East China
6
Junyoung Park
Sejong University
7
Fei Yu
China University of Geosciences
8
Candice Destouet
Institut de Recherches sur la Catalyse et l'Environnement de Lyon
9
Cong Luo
Huazhong University of Science and Technology
10
Weihua Tan
Hunan University of Science and Technology

Rising Stars Papers

1
Revolutionizing Supply Chain Management: Real-time Data Processing and Concurrency
International Journal of Innovative Science and Research Technology (IJISRT)|2024
1.3k 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
Hybrid Task Scheduling in Cloud Manufacturing With Sparse-Reward Deep Reinforcement Learning
IEEE Transactions on Automation Science and Engineering|2024
23 cit.
8
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.
9
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.
10
Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems
International Journal of Production Research|2024
12 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Antoine Prouvost
Mila - Quebec Artificial Intelligence Institute
2
Prabhneet Singh
Chandigarh University
3
Zhongshi Shao
Shaanxi Normal University
4
Leilei Meng
Liaocheng University
5
Weishi Shao
Shaanxi Normal University
6
Quan-Ke Pan
Shanghai University
7
Lei Wang
Wuhan University of Technology
8
Jianlin Fu
Xi'an Jiaotong University
9
Houbin Song
Lanzhou University of Technology
10
Mukund Nilakantan Janardhanan
University of Warwick

Emerging Leaders Papers

1
Revolutionizing Supply Chain Management: Real-time Data Processing and Concurrency
International Journal of Innovative Science and Research Technology (IJISRT)|2024
1.3k 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
Liang Gao
Huazhong University of Science and Technology
2
Quan-Ke Pan
Shanghai University
3
Ignacio E. Grossmann
Carnegie Mellon University
4
A. H. G. Rinnooy Kan
Turan University
5
Ling Wang
Tsinghua University
6
T.C.E. Cheng
Qingdao Center of Resource Chemistry and New Materials
7
M. Zandieh
Shahid Beheshti University
8
Reha Uzsoy
North Carolina State University
9
Rubén Ruíz
Asociación de Investigación Metalúrgica del Noroeste
10
Xinyu Li
Intelligent Machines (Sweden)

Current Senior Leaders Papers

1
An outer-approximation algorithm for a class of mixed-integer nonlinear programs
Mathematical Programming|1986
1.4k cit.
2
Scheduling subject to resource constraints: classification and complexity
Discrete Applied Mathematics|1983
1.4k cit.
3
Complexity of vehicle routing and scheduling problems
Networks|1981
1.3k cit.
4
A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
European Journal of Operational Research|2006
1.1k cit.
5
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence|2006
1.1k cit.
6
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
IEEE Transactions on Systems Man and Cybernetics Systems|2017
1.1k cit.
7
The hybrid flow shop scheduling problem
European Journal of Operational Research|2009
828 cit.
8
Responsive supply chain: A competitive strategy in a networked economy☆
Omega|2007
826 cit.
9
Adoption of internet banking: An empirical study in Hong Kong
Decision Support Systems|2006
807 cit.
10
A transfer convolutional neural network for fault diagnosis based on ResNet-50
Neural Computing and Applications|2019
759 cit.

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