Topic · Artificial Intelligence
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
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