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Physical Sciences → Computer Science → Computational Theory and Mathematics

Advanced Multi-Objective Optimization Algorithms

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.

44.8K works worldwide1M citations
Evolutionary AlgorithmsMultiobjective OptimizationSurrogate ModelingGenetic AlgorithmBayesian OptimizationPareto FrontKriging MetamodelingParticle Swarm OptimizationHypervolume IndicatorEngineering Design

Journals publishing in this area

1Applied Soft Computing cover
Applied Soft Computing
ISSN 1568-49461,247 articles in this topic
233h-index
2Information Sciences cover
Information Sciences
ISSN 0020-0255871 articles in this topic
275h-index
3Expert Systems with Applications cover
Expert Systems with Applications
ISSN 0957-4174772 articles in this topic
341h-index
4Computer Methods in Applied Mechanics and Engineering cover
Computer Methods in Applied Mechanics and Engineering
ISSN 0045-7825683 articles in this topic
313h-index
5Technometrics cover
Technometrics
ISSN 0040-1706577 articles in this topic
500h-index
6International Journal for Numerical Methods in Engineering cover
International Journal for Numerical Methods in Engineering
ISSN 0029-5981448 articles in this topic
270h-index
7Biometrika cover
Biometrika
ISSN 0006-3444200 articles in this topic
361h-index
8
The Annals of Statistics
ISSN 0090-5364158 articles in this topic
318h-index
9Journal of the Royal Statistical Society Series B (Statistical Methodology) cover
307h-index
10International Journal of Structural Design and Engineering cover