NDLI: Biogeography based anticipatory computing framework for intelligent battle field planning

Content Provider	IEEE Xplore Digital Library
Author	Goel, L. Gupta, D. Panchal, V.K.
Copyright Year	2012
Description	Author affiliation: Defense & Terrain Research Lab, Defense & Research Development Organization (DRDO), Metcalfe House, Delhi, India (Panchal, V.K.) \|\| Department of Computer Engineering Delhi Technological University (formerly Delhi College of Engineering), India (Goel, L.; Gupta, D.)
Abstract	It is possible to go and physically observe any situation under the area of our reach, but this is not so for the areas beyond our physical boundaries. For the purpose, a methodology inspired from nature is proposed using remote sensing inputs based on swarm intelligence for the anticipatory computation of the regions beyond our borders. The paper presents a nature inspired anticipatory computing framework for intelligent preparation of the battlefield. The algorithm predicts the most suitable destination for the enemy troops to position their forces, for which it uses the population based optimization technique i.e. Biogeography Based Optimization. The paper also introduces a new concept of efforts required in migration to a high HSI solution for optimization in BBO and hence also proposes an advanced optimization technique that was originally proposed by Dan Simon in December, 2008 [5]. Hence, the algorithm can be used to improve the Ant Colony Optimization (ACO) approach, since it lacks the ability to predict the destination and can only find a suitable path to the given destination, leading to coordination problems and target misidentification which can lead to severe casualties. The algorithm can be of major use for the commanders in the battlefield who have been using traditional decision making techniques of limited accuracy for predicting the destination.
Starting Page	41
Ending Page	46
File Size	372375
Page Count	6
File Format	PDF
ISBN	9781467351140
e-ISBN	9781467351164
DOI	10.1109/HIS.2012.6421306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	anticipatory computing Base stations Irrigation enemy base camps battlefield Biogeography Prediction algorithms remote sensing Indexes Particle swarm optimization Optimization biogeography based optimization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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