In this paper, we present a network-based model for human migration in which a utility function is maximized. The resulting nonlinear optimization problem is characterized by a variational inequality formulation. Due to the high complexity of this problem, in order to efficiently solve realistic instances a heuristic method is proposed. The presented algorithms are tested and compared over a number of randomly generated instances.
A Heuristic Approach for the Human Migration Problem
Cappello G.Primo
;Daniele P.
Secondo
;
2021-01-01
Abstract
In this paper, we present a network-based model for human migration in which a utility function is maximized. The resulting nonlinear optimization problem is characterized by a variational inequality formulation. Due to the high complexity of this problem, in order to efficiently solve realistic instances a heuristic method is proposed. The presented algorithms are tested and compared over a number of randomly generated instances.File in questo prodotto:
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