2 research outputs found
A Novel Two-Stage Dynamic Decision Support based Optimal Threat Evaluation and Defensive Resource Scheduling Algorithm for Multi Air-borne threats
This paper presents a novel two-stage flexible dynamic decision support based
optimal threat evaluation and defensive resource scheduling algorithm for
multi-target air-borne threats. The algorithm provides flexibility and
optimality by swapping between two objective functions, i.e. the preferential
and subtractive defense strategies as and when required. To further enhance the
solution quality, it outlines and divides the critical parameters used in
Threat Evaluation and Weapon Assignment (TEWA) into three broad categories
(Triggering, Scheduling and Ranking parameters). Proposed algorithm uses a
variant of many-to-many Stable Marriage Algorithm (SMA) to solve Threat
Evaluation (TE) and Weapon Assignment (WA) problem. In TE stage, Threat Ranking
and Threat-Asset pairing is done. Stage two is based on a new flexible dynamic
weapon scheduling algorithm, allowing multiple engagements using
shoot-look-shoot strategy, to compute near-optimal solution for a range of
scenarios. Analysis part of this paper presents the strengths and weaknesses of
the proposed algorithm over an alternative greedy algorithm as applied to
different offline scenarios.Comment: 8 Pages, International Journal of Computer Science and Information
Security, IJCSI
A Novel Two-Staged Decision Support based Threat Evaluation and Weapon Assignment Algorithm, Asset-based Dynamic Weapon Scheduling using Artificial Intelligence Techinques
Surveillance control and reporting (SCR) system for air threats play an
important role in the defense of a country. SCR system corresponds to air and
ground situation management/processing along with information fusion,
communication, coordination, simulation and other critical defense oriented
tasks. Threat Evaluation and Weapon Assignment (TEWA) sits at the core of SCR
system. In such a system, maximal or near maximal utilization of constrained
resources is of extreme importance. Manual TEWA systems cannot provide
optimality because of different limitations e.g.surface to air missile (SAM)
can fire from a distance of 5Km, but manual TEWA systems are constrained by
human vision range and other constraints. Current TEWA systems usually work on
target-by-target basis using some type of greedy algorithm thus affecting the
optimality of the solution and failing in multi-target scenario. his paper
relates to a novel two-staged flexible dynamic decision support based optimal
threat evaluation and weapon assignment algorithm for multi-target air-borne
threats.Comment: 7 Pages, International Journal of Computer Science and Information
Security (IJCSIS