Multicriteria Expansion of a Competence Set Using Genetic Algorithm

摘要

Optimal expansion of a competence set, consisting of knowledge, information and skills for a certain decision making problem and its effective solution, is considered in this paper. The competence set expansion is optimized with respect to minimizing costs and time, as well as maximizing efficiency and benefits of expansion. This problem is treated as a multicriteria combinatorial optimization problem. A multicriteria genetic algorithm is developed to solve this optimization problem. The multicriteria measure of closeness to the "ideal" solution is introduced for the fitness assignment. An illustrative example of academic competence set expansion is presented. The results show the applicability of multicriteria genetic algorithm to solve a competence set expansion formulated as a multicriteria optimal route problem.