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An advanced approach to the employee recruitment process through genetic algorithm


In any organization, the process of selecting employees is mostly through the traditional methods. These methods do not support hypothetical situations that result in an error in the selection process. In this research paper, a method based on fuzzy triangular number has been used for the recruitment process of individuals. The selection process used is completely different from previously discovered methods. Basically, we use a modified solution to the assignment problem to select the right person by this process. For such type of application areas, genetic algorithm is widely used approach so the authors may use this approach to get the optimum result. Here we also taken GA and solve the selection process through genetic algorithm approach using fuzzy ranking method. During the process of genetic algorithm, we use heuristic crossover and uniform mutation to find the optimal solution. The solution obtained by this process gives a more optimal solution than other methods by which an organization selects more competent/qualified employees than the former, which is useful for that organization in the future. This research paper shows the optimum solution of 10 best applicants from a group of 50 selected applicants through this process.

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Correspondence to Khandelwal Anju.

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Anju, K., Avanish, K. An advanced approach to the employee recruitment process through genetic algorithm. Int. j. inf. tecnol. 13, 313–319 (2021).

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