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Research Paper | Social Studies | Mali | Volume 12 Issue 1, January 2023

Genetic Algorithm for the Search and Optimal Choice of Girls to School in the Urban Commune of Douentza

Ousmane TAGUEM | Dr Demba COULIBALY

Abstract: As part of improving girls' access to and retention in school, several strategies and actions are envisaged. First, it is necessary to briefly recall the nature and multiplicity of obstacles to girls' school education. These obstacles are both of school origin (distance from school, insufficient teaching staff, high cost of schooling, among others) and of extracurricular origin (forms of marriage, place of girls and women within the family, jobs offered to women). The various factors that oppose girls' schooling confront us with a complex situation with varied and intertwined determinants. The automation of the optimal choice of girls to attend school is not or little known by Mali's school authorities. In this paper, we used genetic algorithms to automate the optimal choice of 6-to 9-year-old girls for school access and retention. This method can be a complement to the classic manual strategy of going door to door or using administrative summons and the services of a town crier to achieve the same objectives.

Keywords: Schooling, Genetic algorithm, Modeling, optimization, Individual, Chromosome, Gene, Genotype, phenotype

Edition: Volume 12 Issue 1, January 2023,

Pages: 982 - 991