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.
978-3-030-86840-6
978-3-030-86841-3
Heuristics
Human migration network
Nonlinear programming
Variational inequality
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/518818
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