FREE SHIPPING - SAFE PAYMENT - MONEY BACK GUARANTEE Need help?

Weapon-Target Allocation and Scheduling for Air Defense

Time Varying Hit Probabilities, Linearization and Heuristic Approaches
by Taner Gülez - Sold by Dodax EU
State: New
(RRP): £58.00
£44.81
Savings: £13.19 (23%)
VAT included - FREE Shipping
Taner Gülez Weapon-Target Allocation and Scheduling for Air Defense
Taner Gülez - Weapon-Target Allocation and Scheduling for Air Defense

Do you like this product? Spread the word!

£44.81 incl. VAT
Only 1 items available Only 1 items available
Delivery: between 2021-03-17 and 2021-03-19
Sales & Shipping: Dodax EU

Description

In this book, mathematical modeling and heuristic approaches are developed for surface-to-air weapon-target allocation problem with time varying single shot hit probabilities (SSHP) against linearly approaching threats. First, a nonlinear mathematical model for the problem is formulated to maximize sum of the weighted survival probabilities of assets to be defended. Next, nonlinear objective function and constraints are linearized. Time varying SSHP values are approximated with appropriate closed forms and adapted to the linear model obtained. This model is tested on different scenarios and results are compared with those of the original nonlinear model. It is observed that the linear model is solved much faster than the nonlinear model and produces reasonably good solutions. Addition to these mathematical model approaches, a construction heuristic is developed based on this scheme. An improvement heuristic that uses the solution of the construction heuristic is also proposed. Finally, all methods are tested on forty defense scenarios. Two fastest solution methods are compared on a large scenario and proposed as appropriate solution techniques.

Contributors

Author Taner Gülez

Product Details

DUIN 1JGE69O0EK3

GTIN 9783846593806

Pages 164

Product type Paperback

Dimension 8.66 x 5.91 x 0.39  inches

Product Weight 9.28 ounces

£44.81
We use cookies on our website to make our services more efficient and more user-friendly. Therefore please select "Accept cookies"! Please read our Privacy Policy for further information.