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Surveillance control and reporting (SCR) system for air threats play animportant role in the defense of a country. SCR system corresponds to air andground situation management/processing along with information fusion,communication, coordination, simulation and other critical defense orientedtasks. Threat Evaluation and Weapon Assignment (TEWA) sits at the core of SCRsystem. In such a system, maximal or near maximal utilization of constrainedresources is of extreme importance. Manual TEWA systems cannot provideoptimality because of different limitations e.g.surface to air missile (SAM)can fire from a distance of 5Km, but manual TEWA systems are constrained byhuman vision range and other constraints. Current TEWA systems usually work ontarget-by-target basis using some type of greedy algorithm thus affecting theoptimality of the solution and failing in multi-target scenario. his paperrelates to a novel two-staged flexible dynamic decision support based optimalthreat evaluation and weapon assignment algorithm for multi-target air-bornethreats.

A Novel Two-Staged Decision Support based Threat Evaluation and Weapon  Assignment Algorithm, Asset-based Dynamic Weapon Scheduling using Artificial  Intelligence Techinques