A Decision Support System for Dynamic Heterogeneous Unmanned Aerial System Fleets

Year 2018, Volume: 31 Issue: 3, 863 - 877, 01.09.2018

Cihan Ercan Cevriye Gencer

Abstract

    The
Dynamic Unmanned Aerial System Routing Problem (DUASRP) is a variant of the
classic Vehicle Routing Problem (VRP) in which both planned and unplanned
targets are observed by a fleet of Unmanned Aerial Systems (UASs). In the
dynamic environment of UAS, the rapid response for the new important targets is
a very critical process, especially for the military operations in battlespace
conditions. This study describes a heuristic method for the solution of the
dynamic heterogeneous UAS routing problems without causing the initial tour to
be completely changed.

    For the
dynamic routing of Unmanned Aerial Vehicles (UAV), it is necessary to determine
a combination of the least additional costs of vehicle routes through a set of
geographically scattered targets, and quick responses for immediate targets
during the reconnaissance missions. The most frequent cases assumed in the
existing literature of classical DUASs consider all UASs as identical
(homogenous), all targets as having two geographical coordinates (x and y), and
the thread of the targets are ignored. In this paper, a dynamic routing
decision support system (DSS) based on both fuzzy clustering and leveraged
cheapest insertion neighborhood method is studied for pop-up threat in the case
where the UAV fleet is heterogeneous, and targets have both three-dimensional
information and threads. Instead of selecting an a priori code, the proposed
control methodology dynamically starts with the route based on observed
behavior of the new target and the routes. It describes an efficient heuristic
method capable of producing quick dynamic solutions on a series of empirical
test problems.

Keywords

Decision Support Systems, VRP, Dynamic Vehicle Routing Problems, Heuristics

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