Leaderboards/Evolutionary Algorithms and Applications

Evolutionary Algorithms and Applications

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Benyamın Abdollahzadeh
Islamic Azad University of Urmia
2
Nitish Chopra
Punjab Technical University
3
Sven Gronauer
Technical University of Munich
4
Iraj Naruei
Islamic Azad University Kerman
5
Shijie Zhao
Liaoning Technical University
6
Kanchan Rajwar
University of Pretoria
7
Jiaze Tu
Wenzhou University
8
Alhussein Fawzi
Google DeepMind (United Kingdom)
9
Yaning Xiao
Southern University of Science and Technology
10
Yicun Hua
Donghua University

Rising Stars Papers

1
Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning
Cluster Computing|2024
427 cit.
2
Artificial lemming algorithm: a novel bionic meta-heuristic technique for solving real-world engineering optimization problems
Artificial Intelligence Review|2025
249 cit.
3
MSAO: A multi-strategy boosted snow ablation optimizer for global optimization and real-world engineering applications
Advanced Engineering Informatics|2024
104 cit.
4
Adaptive normal vector guided evolutionary multi- and many-objective optimization
Complex & Intelligent Systems|2024
31 cit.
5
MCOA: A Multistrategy Collaborative Enhanced Crayfish Optimization Algorithm for Engineering Design and UAV Path Planning
International Journal of Intelligent Systems|2025
19 cit.
6
Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects
Swarm and Evolutionary Computation|2024
11 cit.
7
The green marine waste collector routing optimization with puma selection-based neighborhood search algorithm
Cluster Computing|2024
9 cit.
8
Boomerang aerodynamic ellipse optimizer: A human game-inspired optimization technique for numerical optimization and multilevel thresholding image segmentation
Mathematics and Computers in Simulation|2025
9 cit.
9
Optimizing cluster centroids with improved quadratic interpolation: an Adaptive K-means algorithm
Journal of Computational and Applied Mathematics|2025
6 cit.
10
Empowering bonobo optimizer for global optimization and cloud scheduling problem
Cluster Computing|2024
5 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Julian Schrittwieser
Google DeepMind (United Kingdom)
2
Thomas Hubert
Google DeepMind (United Kingdom)
3
Laith Abualigah
Al al-Bayt University
4
David Meger
McGill University
5
Gaurav Dhiman
Chandigarh University
6
Nima Khodadadi
University of Miami
7
Walid Al‐Atabany
Nile University
8
Kashif Hussain
Southampton Solent University
9
Audrūnas Gruslys
Google (United States)
10
Apu Kumar Saha
National Institute of Technology Agartala

Emerging Leaders Papers

1
Dwarf Mongoose Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering|2022
865 cit.
2
Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
Scientific Reports|2024
605 cit.
3
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
Neural Computing and Applications|2022
435 cit.
4
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
IEEE Access|2022
429 cit.
5
Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization
Advanced Engineering Informatics|2023
246 cit.
6
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
Neural Computing and Applications|2022
225 cit.
7
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Expert Systems with Applications|2023
215 cit.
8
A novel intelligent deep learning predictive model for meteorological drought forecasting
Journal of Ambient Intelligence and Humanized Computing|2022
188 cit.
9
Geyser Inspired Algorithm: A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization
Journal of Bionic Engineering|2023
177 cit.
10
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
Energies|2022
164 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Koichiro Tamura
Tokyo Metropolitan University
2
Lothar Thiele
ETH Zurich
3
Ponnuthurai Nagaratnam Suganthan
Qatar University
4
Francisco Herrera
Universidad de Granada
5
Andrew Lewis
Griffith University
6
Seyed Mohammad Mirjalili
Shahid Beheshti University
7
Xin Yao
Xichang University
8
Seyedali Mirjalili
Torrens University Australia
9
Kalyanmoy Deb
Michigan State University
10
Huiling Chen
North Sichuan Medical University

Current Senior Leaders Papers

1
MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
Molecular Biology and Evolution|2013
47.9k cit.
2
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation|2002
47.8k cit.
3
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Molecular Biology and Evolution|2016
45.6k cit.
4
MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods
Molecular Biology and Evolution|2011
40.3k cit.
5
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Molecular Biology and Evolution|2018
38.8k cit.
6
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
Molecular Biology and Evolution|2007
28.8k cit.
7
MEGA11: Molecular Evolutionary Genetics Analysis Version 11
Molecular Biology and Evolution|2021
22.1k cit.
8
Grey Wolf Optimizer
Advances in Engineering Software|2014
18.4k cit.
9
The Whale Optimization Algorithm
Advances in Engineering Software|2016
14k cit.
10
Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees.
Molecular Biology and Evolution|1993
11.4k cit.

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