| # | Title | Journal | Year | Citations |
|---|
|
| 1 | A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms | Swarm and Evolutionary Computation | 2011 | 4,328 |
| 2 | Multiobjective evolutionary algorithms: A survey of the state of the art | Swarm and Evolutionary Computation | 2011 | 1,867 |
| 3 | Recent advances in differential evolution – An updated survey | Swarm and Evolutionary Computation | 2016 | 1,311 |
| 4 | Surrogate-assisted evolutionary computation: Recent advances and future challenges | Swarm and Evolutionary Computation | 2011 | 1,084 |
| 5 | A comprehensive review of firefly algorithms | Swarm and Evolutionary Computation | 2013 | 1,037 |
| 6 | Constraint-handling in nature-inspired numerical optimization: Past, present and future | Swarm and Evolutionary Computation | 2011 | 892 |
| 7 | S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization | Swarm and Evolutionary Computation | 2013 | 866 |
| 8 | A novel nature-inspired algorithm for optimization: Squirrel search algorithm | Swarm and Evolutionary Computation | 2019 | 686 |
| 9 | Evolutionary dynamic optimization: A survey of the state of the art | Swarm and Evolutionary Computation | 2012 | 605 |
| 10 | Memetic algorithms and memetic computing optimization: A literature review | Swarm and Evolutionary Computation | 2012 | 527 |
| 11 | Parameter tuning for configuring and analyzing evolutionary algorithms | Swarm and Evolutionary Computation | 2011 | 493 |
| 12 | A comprehensive survey: Whale Optimization Algorithm and its applications | Swarm and Evolutionary Computation | 2019 | 476 |
| 13 | Bio-inspired computation: Where we stand and what's next | Swarm and Evolutionary Computation | 2019 | 468 |
| 14 | A survey on nature inspired metaheuristic algorithms for partitional clustering | Swarm and Evolutionary Computation | 2014 | 467 |
| 15 | Clustering using firefly algorithm: Performance study | Swarm and Evolutionary Computation | 2011 | 436 |
| 16 | A survey of swarm intelligence for dynamic optimization: Algorithms and applications | Swarm and Evolutionary Computation | 2017 | 435 |
| 17 | Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation | Swarm and Evolutionary Computation | 2015 | 411 |
| 18 | An introduction and survey of estimation of distribution algorithms | Swarm and Evolutionary Computation | 2011 | 377 |
| 19 | Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review | Swarm and Evolutionary Computation | 2020 | 351 |
| 20 | Real-parameter evolutionary multimodal optimization — A survey of the state-of-the-art | Swarm and Evolutionary Computation | 2011 | 334 |
| 21 | A novel Random Walk Grey Wolf Optimizer | Swarm and Evolutionary Computation | 2019 | 315 |
| 22 | Load frequency control of interconnected power system using grey wolf optimization | Swarm and Evolutionary Computation | 2016 | 305 |
| 23 | Differential Evolution: A survey of theoretical analyses | Swarm and Evolutionary Computation | 2019 | 303 |
| 24 | Opposition based learning: A literature review | Swarm and Evolutionary Computation | 2018 | 288 |
| 25 | Push and pull search for solving constrained multi-objective optimization problems | Swarm and Evolutionary Computation | 2019 | 286 |
| 26 | A multi-objective artificial bee colony algorithm | Swarm and Evolutionary Computation | 2012 | 283 |
| 27 | A test-suite of non-convex constrained optimization problems from the real-world and some baseline results | Swarm and Evolutionary Computation | 2020 | 283 |
| 28 | Particle swarm optimization of deep neural networks architectures for image classification | Swarm and Evolutionary Computation | 2019 | 281 |
| 29 | Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm | Swarm and Evolutionary Computation | 2016 | 271 |
| 30 | A survey on swarm intelligence approaches to feature selection in data mining | Swarm and Evolutionary Computation | 2020 | 264 |
| 31 | AEFA: Artificial electric field algorithm for global optimization | Swarm and Evolutionary Computation | 2019 | 259 |
| 32 | Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application | Swarm and Evolutionary Computation | 2021 | 257 |
| 33 | MPSO: Modified particle swarm optimization and its applications | Swarm and Evolutionary Computation | 2018 | 255 |
| 34 | Optimal placement of multi-distributed generation units including different load models using particle swarm optimization | Swarm and Evolutionary Computation | 2011 | 240 |
| 35 | A novel evolutionary approach for load balanced clustering problem for wireless sensor networks | Swarm and Evolutionary Computation | 2013 | 231 |
| 36 | Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization | Swarm and Evolutionary Computation | 2014 | 230 |
| 37 | Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm | Swarm and Evolutionary Computation | 2013 | 224 |
| 38 | A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning | Swarm and Evolutionary Computation | 2016 | 223 |
| 39 | A better balance in metaheuristic algorithms: Does it exist? | Swarm and Evolutionary Computation | 2020 | 209 |
| 40 | Population size in Particle Swarm Optimization | Swarm and Evolutionary Computation | 2020 | 199 |
| 41 | A particle swarm optimization algorithm for mixed-variable optimization problems | Swarm and Evolutionary Computation | 2021 | 199 |
| 42 | A self-adaptive multi-population based Jaya algorithm for engineering optimization | Swarm and Evolutionary Computation | 2017 | 197 |
| 43 | Ensemble strategies for population-based optimization algorithms – A survey | Swarm and Evolutionary Computation | 2019 | 196 |
| 44 | Research on particle swarm optimization based clustering: A systematic review of literature and techniques | Swarm and Evolutionary Computation | 2014 | 194 |
| 45 | Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends | Swarm and Evolutionary Computation | 2021 | 193 |
| 46 | A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems | Swarm and Evolutionary Computation | 2021 | 192 |
| 47 | A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems | Swarm and Evolutionary Computation | 2018 | 190 |
| 48 | Review of Differential Evolution population size | Swarm and Evolutionary Computation | 2017 | 189 |
| 49 | Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization | Swarm and Evolutionary Computation | 2018 | 188 |
| 50 | A comprehensive survey on gravitational search algorithm | Swarm and Evolutionary Computation | 2018 | 186 |
