Anticipatory planning support system

Surdu, J.R.; Hill, J.M.D.; Pooch, U.W.

doi:10.1109/wsc.2000.899897

Cited by 1 publication

(1 citation statement)

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“…The intricacies faced by battalion commanders and other leaders in the battlefield creates a need for an effective command and control system which is able to anticipate the movements of enemy and help the infantry war fighter on the battlefield to take the appropriate decisions (Surdu, 2000). The system is responsible to acquire knowledge about military units of the enemy and battlefield environment.…”

Section: Problem Statement and Motivationmentioning

confidence: 99%

Multiobjective Cuckoo Search for Anticipating the Enemy's Movements in the Battleground

Goel

Sharma

Panchal

2014

International Journal of Applied Metaheuristic Computing

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Since ages nations have been trying to improve their military effectiveness by adopting various measures. Having an anticipatory system, which can not only accurately predict the most probable location for the enemy's base station but also finds the best route to that point, will lead to improved military operations. This paper aims to propose an integrated framework for developing an efficient anticipatory system. In the first phase of the framework, it proposes Anticipatory Multi objective Cuckoo Search (AMOCS) algorithm to identify the best probable location for deployment of enemy forces. For the second phase a hybrid CS-ACO algorithm is developed for obtaining the most suitable path to the location identified in the first phase. To test the proposed system, satellite image of regions of different terrain types namely plain/desert and mountainous respectively, are chosen. Experimental results demonstrate that the system makes accurate predictions.

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Section: Problem Statement and Motivationmentioning

confidence: 99%