Metaheuristic Optimization Algorithms Research
Metaheuristic Optimization Algorithms Research is a research topic within Artificial Intelligence. Science Explorer counts 40k research works in it since 1952. 25.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on swarm intelligence optimization algorithms, including Particle Swarm Optimization, Differential Evolution, Ant Colony Optimization, and Firefly Algorithm. These nature-inspired metaheuristic algorithms are used for global optimization and have applications in various fields.
- Particle Swarm Optimization
- Differential Evolution
- Ant Colony Optimization
- Firefly Algorithm
- Metaheuristics
- Nature-Inspired Algorithms
- Global Optimization
- Evolutionary Algorithms
- Constraint Handling
- Optimization Applications
- Research works
- 40k fractional, since 1952
- In the world top 10%
- 10k per year above
- Top-10% rate
- 25.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +18% the tick is no change
Which countries lead Metaheuristic Optimization Algorithms Research research?
By volume, China and India publish the most (3k and 784 works in 2022–2025).
By volume, 2022–2025
- 1 China 3k works
- 2 India 784 works
- 3 United States 359 works
- 4 Türkiye 241 works
- 5 Japan 223 works
- 6 United Kingdom 185 works
- 7 Iran 177 works
- 8 Mexico 142 works
- 9 Germany 137 works
- 10 Iraq 134 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Metaheuristic Optimization Algorithms Research research?
By volume in 2022–2025, Xidian University publishes the most Metaheuristic Optimization Algorithms Research research, followed by Northeastern University and Southern University of Science and Technology.
By volume, 2022–2025
- 1 Xidian UniversityChina 56 works
- 2 Northeastern UniversityChina 51 works
- 3 Southern University of Science and TechnologyChina 44 works
- 4 Victoria University of WellingtonNew Zealand 40 works
- 5 South China University of TechnologyChina 40 works
- 6 Nanjing University of Information Science and TechnologyChina 34 works
- 7 China University of GeosciencesChina 33 works
- 8 Universidad de GuadalajaraMexico 33 works
- 9 Shenzhen UniversityChina 31 works
- 10 National University of Defense TechnologyChina 30 works
Who are the leading researchers in Metaheuristic Optimization Algorithms Research?
The most-cited researchers publishing on Metaheuristic Optimization Algorithms Research include Yoshua Bengio, Rajkumar Buyya and Seyedali Mirjalili.
- 1 Yoshua Bengio Canada 17k citations
- 2 Rajkumar Buyya Australia 7.8k citations
- 3 Seyedali Mirjalili Australia 7.6k citations
- 4 Kalyanmoy Deb United States 6.7k citations
- 5 Francisco Herrera Spain 6.5k citations
- 6 Witold Pedrycz Canada 5.4k citations
- 7 Marco Dorigo Belgium 4.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Metaheuristic Optimization Algorithms Research research done?
The largest centres of Metaheuristic Optimization Algorithms Research research in 2022–2025 are Beijing (China), Xi'an (China), Wuhan (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Anshan.
Largest cities, 2022–2025
Where it is the local speciality
- AnshanCN · 27.5 works23×
Location quotient: how much more of its research is in Metaheuristic Optimization Algorithms Research than the world average.
Where is the best place to study Metaheuristic Optimization Algorithms Research?
Among universities, judged by research, Al-Balqa Applied University, University of Hradec Králové and Fujian University of Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Al-Balqa Applied UniversityJordan | 71.0 | 71.0% | 12.6× | 10 | +202.1% |
| 2 | University of Hradec KrálovéCzechia | 68.8 | 87.7% | 20.9× | 10 | — |
| 3 | Fujian University of TechnologyChina | 68.0 | 54.1% | 24.5× | 18 | +333.8% |
| 4 | Torrens University AustraliaAustralia | 66.9 | 67.2% | 75.6× | 14 | — |
| 5 | Nanjing University of Information Science and TechnologyChina | 65.3 | 41.4% | 11.1× | 34 | +97.9% |
| 6 | Middle East UniversityJordan | 64.4 | 71.2% | 30.1× | 9 | — |
| 7 | Victoria University of WellingtonNew Zealand | 63.4 | 35.9% | 26.8× | 40 | +35.7% |
| 8 | Universidad de GuadalajaraMexico | 63.3 | 21.8% | 14.3× | 33 | +425.4% |
| 9 | Wenzhou UniversityChina | 62.1 | 53.0% | 13.9× | 22 | +60.7% |
| 10 | University of ToyamaJapan | 61.9 | 32.3% | 23.3× | 19 | +331.5% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Metaheuristic Optimization Algorithms Research research growing?
Output in 2018–2022 was 18% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Metaheuristic Optimization Algorithms Research.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.