Integrating AHP and Genetic Algorithm Model Adopted for Personal Selection

Selection of qualified persons suitable for different organization functions is a key success factor for an organization. The complexity and importance of the problem call for analytical methods rather than intuitive decisions. The personnel selection problem requires the application of multi-criteria decision making (MCDM) methods for robust recruitment. This paper has to objectives; first to proposed a MCDM method for personnel selection system based on Analytic Hierarchy Process and Genetic Algorithm (AHP-GA) and second, to apply this algorithm on a real case from an organization. As related to the first objective, Analytic Hierarchy Process (AHP) is used to solve the MCDM problem. It has been applied in numerous situations with impressive results. However, AHP has been also criticized mainly in priority derivation procedure. One of the main problems in current AHP as priority derivation procedure is; inconsistency of the judgment, accuracy and performance of the prioritization method. To solve the criticism and the AHP problems; this paper proposes more reliable model, AHP-GA. The propose framework combines the power of genetic algorithm (GA) with Analytic Hierarchy Process (AHP). The new model minimizes Euclidian distance of Least Squire Method as objective function. Effectiveness of new proposed model is verified by comparing model results with other prioritization methods in the literature. For the second objective the proposed framework is exploited to solve personal selection problem reported in an earlier study. The AHP-GA can consider the best adequate personnel dealing with the rating of both qualitative and quantitative criteria.