Leaderboards/Advanced Multi-Objective Optimization Algorithms

Advanced Multi-Objective Optimization Algorithms

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Benyamın Abdollahzadeh
Islamic Azad University of Urmia
2
Jeffrey O. Agushaka
Federal University Lafia
3
Iraj Naruei
Islamic Azad University Kerman
4
Nitish Chopra
Punjab Technical University
5
Sumit Kumar
University of Tasmania
6
Lingyun Deng
Xidian University
7
Kanchan Rajwar
University of Pretoria
8
Jiaze Tu
Wenzhou University
9
Yaning Xiao
Southern University of Science and Technology
10
Zhenshou Song
Victoria University of Wellington

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
Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems
Heliyon|2024
96 cit.
5
Optimization of truss structures using multi-objective cheetah optimizer
Mechanics Based Design of Structures and Machines|2024
54 cit.
6
Metaheuristics exposed: Unmasking the design pitfalls of arithmetic optimization algorithm in benchmarking
Applied Soft Computing|2024
48 cit.
7
A risk-based multi-criteria decision-making framework for offshore green hydrogen system developments: Pathways for utilizing existing and new infrastructure
Sustainable Production and Consumption|2024
44 cit.
8
Exposing the chimp optimization algorithm: A misleading metaheuristic technique with structural bias
Applied Soft Computing|2024
43 cit.
9
A sine cosine algorithm guided by elite pool strategy for global optimization
Applied Soft Computing|2024
41 cit.
10
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability
Computers in Industry|2024
40 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Laith Abualigah
Al al-Bayt University
2
Walid Al‐Atabany
Nile University
3
Nima Khodadadi
University of Miami
4
Gaurav Dhiman
Chandigarh University
5
Apu Kumar Saha
National Institute of Technology Agartala
6
Kashif Hussain
Southampton Solent University
7
Fayzul Pasha
Shaheed Suhrawardy Medical College
8
Ali Khater Mohamed
October University of Modern Sciences and Arts
9
Muhammad Mohsin Ansari
Riphah International University
10
Marius Lindauer
Leibniz University Hannover

Emerging Leaders Papers

1
Dwarf Mongoose Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering|2022
865 cit.
2
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
Expert Systems with Applications|2022
844 cit.
3
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery|2023
809 cit.
4
Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
Scientific Reports|2024
605 cit.
5
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
Neural Computing and Applications|2022
435 cit.
6
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
IEEE Access|2022
429 cit.
7
Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization
Advanced Engineering Informatics|2023
246 cit.
8
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.
9
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Expert Systems with Applications|2023
215 cit.
10
A novel intelligent deep learning predictive model for meteorological drought forecasting
Journal of Ambient Intelligence and Humanized Computing|2022
188 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Andrew Lewis
Griffith University
2
Seyed Mohammad Mirjalili
Shahid Beheshti University
3
Seyedali Mirjalili
Torrens University Australia
4
Ponnuthurai Nagaratnam Suganthan
Qatar University
5
Lothar Thiele
ETH Zurich
6
Xin Yao
Xichang University
7
Yaochu Jin
Leiden University
8
Kalyanmoy Deb
Michigan State University
9
Bahriye Akay
Erciyes University
10
Qingfu Zhang
City University of Hong Kong

Current Senior Leaders Papers

1
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation|2002
47.8k cit.
2
Grey Wolf Optimizer
Advances in Engineering Software|2014
18.4k cit.
3
The Whale Optimization Algorithm
Advances in Engineering Software|2016
14k cit.
4
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
IEEE Transactions on Evolutionary Computation|2007
9.6k cit.
5
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
IEEE Transactions on Evolutionary Computation|1999
8.6k cit.
6
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Journal of Global Optimization|2007
7.5k cit.
7
Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
Evolutionary Computation|1994
6.9k cit.
8
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
IEEE Transactions on Evolutionary Computation|2013
6.8k cit.
9
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation|2000
5.6k cit.
10
SCA: A Sine Cosine Algorithm for solving optimization problems
Knowledge-Based Systems|2016
5.6k cit.

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