Set metaheuristics for optimising variable relationship problems in complex statistical contexts for quantitative data analysis.
DOI:
https://doi.org/10.22517/23447214.25807Keywords:
relationships, variables, interdisciplinary, quantitative.Abstract
The research introduces Set Metaheuristics as an advanced tool for optimisation in problems involving complex relationships between variables in statistical contexts. This methodology is designed to address and improve efficiency in quantitative data analysis, especially when facing complex and multidimensional challenges in scientific research.
Set Metaheuristics is based on search and optimisation techniques that allow us to efficiently explore large spaces of potential solutions. Its application is particularly relevant in situations where traditional statistical models may be insufficient due to high dimensionality or non-linear interaction between variables.
This technique provides a flexible and adaptive approach, capable of adjusting to the particularities of different datasets and specific problems. By implementing Set Metaheuristics, analysis results can be significantly improved, identifying patterns and relationships that may not be evident with conventional methods.
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