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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. 9.9% 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%
4k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+8%
the tick is no change
Largest producer
China
56% of the 10 largest, 2022-now
Metaheuristic Optimization Algorithms Research

Which countries lead Metaheuristic Optimization Algorithms Research research?

By volume, China and India publish the most (3.4k and 869 works in 2022-now).

By volume, 2022-now

  1. 1 China 3.4k works
  2. 2 India 869 works
  3. 3 United States 400 works
  4. 4 Türkiye 263 works
  5. 5 Japan 244 works
  6. 6 United Kingdom 198 works
  7. 7 Iran 192 works
  8. 8 Mexico 152 works
  9. 9 Germany 151 works
  10. 10 Iraq 146 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.

China: 56.4%India: 14.5%United States: 6.7%Türkiye: 4.4%6 others listed: 18.1%56%largest
China3,379 · 56.4%India869 · 14.5%United States400 · 6.7%Türkiye263 · 4.4%6 others listed1,083 · 18.1%

Shares of the rows listed above, not of the whole node.

Which institutions lead Metaheuristic Optimization Algorithms Research research?

By volume in 2022-now, Xidian University publishes the most Metaheuristic Optimization Algorithms Research research, followed by Northeastern University and Islamic Azad University, Tehran.

By volume, 2022-now

  1. 1 Xidian UniversityChina 59 works
  2. 2 Northeastern UniversityChina 58 works
  3. 3 Islamic Azad University, TehranIran 49 works
  4. 4 Southern University of Science and TechnologyChina 46 works
  5. 5 Chinese Academy of SciencesChina 45 works
  6. 6 South China University of TechnologyChina 42 works
  7. 7 Victoria University of WellingtonNew Zealand 42 works
  8. 8 Centre National de la Recherche ScientifiqueFrance 37 works
  9. 9 Nanjing University of Information Science and TechnologyChina 37 works
  10. 10 China University of GeosciencesChina 36 works

Who are the leading researchers in Metaheuristic Optimization Algorithms Research?

The most-cited researchers publishing on Metaheuristic Optimization Algorithms Research include Yoshua Bengio, George Davey Smith and Vladimir N. Vapnik.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 George Davey Smith United Kingdom 435k citations
  3. 3 Vladimir N. Vapnik United States 227k citations
  4. 4 Jürgen Schmidhuber Switzerland 188k citations
  5. 5 Avelino Corma Spain 176k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Metaheuristic Optimization Algorithms Research?

The most cited paper in Metaheuristic Optimization Algorithms Research is "A fast and elitist multiobjective genetic algorithm: NSGA-II" (Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al., 2002), with 49,664 citations. Next come "Particle swarm optimization" (48,693) and "Statistical Learning Theory" (26,900).

Most cited papers
#PaperReleasedCitations
1 A fast and elitist multiobjective genetic algorithm: NSGA-II Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al. · IEEE Transactions on Evolutionary Computation Apr 2002 49,664
2 Particle swarm optimization James C. Kennedy, R.C. Eberhart Conference paper 19 Nov 2002 48,693
3 Statistical Learning Theory Yuhai Wu, Vladimir N. Vapnik · Technometrics Nov 1999 26,900
4 Particle swarm optimization Riccardo Poli, James C. Kennedy, Tim Blackwell · Swarm Intelligence 31 Jul 2007 21,401
5 Grey Wolf Optimizer Seyedali Mirjalili, Seyed Mohammad Mirjalili, Seyed Mohammad Mirjalili et al. · Advances in Engineering Software Open access 21 Jan 2014 19,320
All 100 most cited papers, with filters and sorting

Where is Metaheuristic Optimization Algorithms Research research done?

The largest centres of Metaheuristic Optimization Algorithms Research research in 2022-now 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-now

  1. 1 BeijingChina 320 works
  2. 2 Xi'anChina 236 works
  3. 3 WuhanChina 179 works
  4. 4 ShanghaiChina 155 works
  5. 5 NanjingChina 154 works
  6. 6 GuangzhouChina 148 works
  7. 7 ShenzhenChina 107 works
  8. 8 ShenyangChina 97 works
  9. 9 ChangshaChina 88 works
  10. 10 TianjinChina 85 works

Where it is the local speciality

  1. AnshanCN · 30.8 works23×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Metaheuristic Optimization Algorithms Research than the world average.

See Metaheuristic Optimization Algorithms Research on the map

Where is the best place to study Metaheuristic Optimization Algorithms Research?

Among universities, judged by research, University of Hradec Králové, Torrens University Australia and Xidian University score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%25%50%mean 28.91%fractional works in this field (log) →share of work in the world top 10% →University of Hradec…Torrens University A…Xidian UniversityNortheastern Univers…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of Hradec KrálovéCzechia 68.359.3%21.5×10 +603.1%
2Torrens University AustraliaAustralia 64.938.4%80.5×14 +70.4%
3Xidian UniversityChina 61.616.5%11.1×59 +31.8%
4Northeastern UniversityChina 58.611.4%8.9×58 +70.9%
5Wenzhou UniversityChina 58.425.1%15.7×24 +105.4%
6Nanjing University of Information Science and TechnologyChina 57.617.1%12.5×37 +231.3%
7Al-Balqa Applied UniversityJordan 57.544.5%14.1×11 +43.1%
8China University of GeosciencesChina 57.221.9%10.7×36 +72.7%
9Anhui UniversityChina 55.218.0%9.7×32 +148.7%
10Mansoura UniversityEgypt 55.236.9%4.9×16 +138.4%

Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Metaheuristic Optimization Algorithms Research, country by country

Is Metaheuristic Optimization Algorithms Research research growing?

Output in 2022-2025 was 8% higher than in 2018-2021, peaking in 2022. The fastest-growing topics are Metaheuristic Optimization Algorithms Research.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Metaheuristic Optimization Algorithms Research as a percentage of every work published that year, 0.034% in 2024.

still counting0.020%0.040%0.060%Metaheuristic Optimization Algorithms Research0.034% in 202519801990200020102020

Fractional works of Metaheuristic Optimization Algorithms Research over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Metaheuristic Optimization Algorithms Research9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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