Honeycomb Meta-Heuristic for Optimising Socio-Community Problems in Complex Statistical Contexts for Data Analysis on Quantitative Variables

20 Pages Posted: 13 Sep 2024

Date Written: August 11, 2024

Abstract

This study addresses the issue of the optimisation of socio-community problems, carrying out an initial diagnosis, on which the identification of possible problems in relation to the problem to be solved is based. The analysis of the quantitative variables is presented by means of a simple solution at a mathematical level, this position being congruent with the nature of the complex problem, based on a level of simplicity which in turn implies a broad and dynamic level of complexity. Additionally, in order to determine the convergence process of the most optimal solutions, it is proposed to identify a group of procedures, taking up the scales that allow the development of a more solid strategy for the optimisation of the context, thus aiming at the solution of the problem.

Keywords: relationship, mathematics, social sciences, human sciences

Suggested Citation

Mosquera Rodas, Jhon Jairo, Honeycomb Meta-Heuristic for Optimising Socio-Community Problems in Complex Statistical Contexts for Data Analysis on Quantitative Variables (August 11, 2024). Available at SSRN: https://ssrn.com/abstract=4922546 or http://dx.doi.org/10.2139/ssrn.4922546

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