%0 Conference Proceedings
%T DX-IFD: An Intelligent Force Deployment System
%+ Xi'an Jiaotong University (Xjtu)
%+ Xi’an Institute of Surveying and Mapping
%A Bao, Junpeng
%A Zhang, Yuepeng
%A Wang, Wenqing
%A Zeng, Jun
%A Zhang, De
%A Yuan, Ruiyu
%Z Part 7: Genetic Algorithms
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Rhodes, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%Y Harris Papadopoulos
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-436
%P 298-306
%8 2014-09-19
%D 2014
%R 10.1007/978-3-662-44654-6_29
%K Intelligent Force Deployment
%K Genetic Algorithm
%K Topography Analysis
%Z Computer Science [cs]Conference papers
%X It is easy to gather a huge amount of information from a battlefield by satellites, manned or unmanned aerial vehicles. But it becomes an important issue to effectively deal with the tremendous information and create reasonable solutions based on that. This paper introduces an Intelligent Force Deployment system DX-IFD, which combines topography heuristic information and military principles with the Genetic Algorithm to automatically identify the battlefield features and make the optimized force deployment in terms of the topography, the enemy status and our mission. A Relative Position Code method is presented to encode the deployment, which ensures the optimized formation will be kept after genetic operations. According to basic military principles, we propose a force deployment assessment scheme which evaluates a deployment solution from three aspects: unit fitness, formation fitness and relationship fitness. The DX-IFD system can quickly response to the change of battlefield situation, evaluate and create the optimized deployment in different configuration conditions. It greatly improves the force ability to quickly react and occupy the dominant positions in a battle.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-01391327/document
%2 https://inria.hal.science/hal-01391327/file/978-3-662-44654-6_29_Chapter.pdf
%L hal-01391327
%U https://inria.hal.science/hal-01391327
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-436