Advanced Multi-Objective Optimization Algorithms
Advanced Multi-Objective Optimization Algorithms is a research topic within Computational Theory and Mathematics. Science Explorer counts 32k research works in it since 1951. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the application of evolutionary algorithms, surrogate modeling, and optimization techniques to solve multiobjective optimization problems. It covers topics such as genetic algorithms, Pareto fronts, Bayesian optimization, and the use of surrogate models like Kriging for engineering design.
- Evolutionary Algorithms
- Multiobjective Optimization
- Surrogate Modeling
- Genetic Algorithm
- Bayesian Optimization
- Pareto Front
- Kriging Metamodeling
- Particle Swarm Optimization
- Hypervolume Indicator
- Engineering Design
- Research works
- 32k fractional, since 1951
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +12% the tick is no change
- Largest producer
China
53% of the 10 largest, 2022-now
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