Leaderboards/Advanced Optimization Algorithms Research

Advanced Optimization Algorithms Research

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Malik Braik
Al-Balqa Applied University
2
Jeffrey O. Agushaka
Federal University Lafia
3
Bin Shi
Chinese Academy of Sciences
4
Yiying Zhang
Tianjin University
5
V. A. Uzor
University of KwaZulu-Natal
6
Alberto De Marchi
Universität der Bundeswehr München
7
Grace Nnennaya Ogwo
Zhejiang Normal University
8
Linas Stripinis
Vilnius University
9
H. A. Wasi
University of Babylon
10
Francesco Mezzadri
University of Bristol

Rising Stars Papers

1
Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems
Heliyon|2024
96 cit.
2
A novel meta-heuristic optimization algorithm inspired by water uptake and transport in plants
Neural Computing and Applications|2025
20 cit.
3
Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets
IEEE Transactions on Evolutionary Computation|2024
16 cit.
4
Adaptive dynamic elite opposition-based Ali Baba and the forty thieves algorithm for high-dimensional feature selection
Cluster Computing|2024
15 cit.
5
Heterogeneous cognitive learning chameleon swarm algorithm for high-dimensional feature selection
The Journal of Supercomputing|2025
11 cit.
6
Neural network algorithm with transfer learning and dropout for using a UAV to search the lost target in motion
Knowledge-Based Systems|2024
7 cit.
7
Evolutionary optimization of Yagi–Uda antenna design using grey wolf optimizer
Neural Computing and Applications|2024
5 cit.
8
Modulus-based matrix splitting algorithms for generalized complex-valued horizontal linear complementarity problems
Journal of Computational and Applied Mathematics|2024
4 cit.
9
Local properties and augmented Lagrangians in fully nonconvex composite optimization
Journal of Nonsmooth Analysis and Optimization|2024
3 cit.
10
Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets
Proceedings of the Genetic and Evolutionary Computation Conference Companion|2024
3 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Walid Al‐Atabany
Nile University
2
Dang Van Hieu
Nha Trang University
3
Mushtak A. K. Shiker
University of Babylon
4
Duong Viet Thong
National Economics University
5
Ali Khater Mohamed
October University of Modern Sciences and Arts
6
Wen-Ting Wu
Beijing Institute of Technology
7
Yuyuan Ouyang
Clemson University
8
Khaled Ramadan
Ahlia University
9
Oscar Dowson
Cawthron Institute
10
Ye Yuan
Technical University of Munich

Emerging Leaders Papers

1
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data
IEEE Transactions on Cybernetics|2022
84 cit.
2
Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems
Neural Computing and Applications|2022
59 cit.
3
On greedy randomized average block Kaczmarz method for solving large linear systems
Journal of Computational and Applied Mathematics|2022
45 cit.
4
A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis
IEEE Transactions on Fuzzy Systems|2024
42 cit.
5
Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM
IEEE Journal on Selected Areas in Communications|2024
40 cit.
6
Randomized Kaczmarz iteration methods: Algorithmic extensions and convergence theory
Japan Journal of Industrial and Applied Mathematics|2023
35 cit.
7
An Adaptive Divergence-Based Non-Negative Latent Factor Model
IEEE Transactions on Systems Man and Cybernetics Systems|2023
35 cit.
8
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications
IEEE Transactions on Emerging Topics in Computational Intelligence|2024
25 cit.
9
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph
IEEE Transactions on Neural Networks and Learning Systems|2024
24 cit.
10
A hybrid deep learning approach for COVID-19 detection based on genomic image processing techniques
Scientific Reports|2023
23 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Jorge Nocedal
Northwestern University
2
William G. Macready
Santa Fe Institute
3
Stephen Boyd
Stanford University
4
Michael A. Saunders
Tecplot (United States)
5
Lorenz T. Biegler
Carnegie Mellon University
6
Philippe L. Toint
University of Namur
7
Jen‐Chih Yao
China Medical University
8
Ignacio E. Grossmann
Carnegie Mellon University
9
Paul E. Wright
BT Group (United Kingdom)
10
B. F. Svaiter
Instituto Nacional de Matemática Pura e Aplicada

Current Senior Leaders Papers

1
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Foundations and Trends® in Machine Learning|2011
16k cit.
2
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation|1997
13.9k cit.
3
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
Mathematical Programming|2005
9.4k cit.
4
On the limited memory BFGS method for large scale optimization
Mathematical Programming|1989
8.5k cit.
5
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization|1998
7.4k cit.
6
Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing|1998
7k cit.
7
Atomic Decomposition by Basis Pursuit
SIAM Review|2001
5.1k cit.
8
Enhancing Sparsity by Reweighted ℓ 1 Minimization
Journal of Fourier Analysis and Applications|2008
4.9k cit.
9
LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
ACM Transactions on Mathematical Software|1982
4.4k cit.
10
Semidefinite Programming
SIAM Review|1996
4.1k cit.

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