Weapon Target Assignment with Combinatorial Optimization Techniques
نویسندگان
چکیده
منابع مشابه
Effect-Based Weapon-Target Assignment Optimization With Collateral Damage Under Control
In this work we optimize an effect-based weapon-target assignment that does not exceed a pre-determined upper bounds P1, P2, . . . , Pk for the collateral damage of k types of assets. That is, for given P1, P2, . . . , Pk we optimize weapon-target assignments with respect to kill overhead by minimizing overkill of targets and assuring that the kill probabilities of friendly asset types do not e...
متن کاملA Neural Network — Based Optimization Algorithm for the Weapon-Target Assignment Problem
A neural network-based algorithm was developed for the Weapon-Target Assignment Problem (WTAP) in Ballistic Missile Defense (BMD). An optimal assignment policy is one which allocates targets to weapon platforms such that the total expected leakage value of targets surviving the defense is minimized. This involves the minimization of a non-linear objective function subject to inequality constrai...
متن کاملExact and Heuristic Methods for the Weapon Target Assignment Problem
The Weapon Target Assignment (WTA) problem is a fundamental problem arising in defense-related applications of operations research. This problem consists of optimally assigning n weapons to m targets so that the total expected survival value of the targets after all the engagements is minimum. The WTA problem can be formulated as a nonlinear integer programming problem and is known to be NP-com...
متن کاملExact and Heuristic Algorithms for the Weapon-Target Assignment Problem
The Weapon Target Assignment (WTA) problem is a fundamental problem arising in defense-related applications of operations research. This problem consists of optimally assigning n weapons to m targets so that the total expected survival value of the targets after all the engagements is minimum. The WTA problem can be formulated as a nonlinear integer programming problem and is known to be NP-com...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Artificial Intelligence
سال: 2013
ISSN: 2165-4069
DOI: 10.14569/ijarai.2013.020707