A Semi-Automated Dynamic Approach to Threat Evaluation and Optimal Defensive Resource Allocation

被引：0

作者：

Naeem, Huma ^{[1
]}

Masood, Asif ^{[1
]}

Hussain, Mukhtar ^{[1
]}

Khan, Shoab A. ^{[2
]}

机构：

[1] Natl Univ Sci & Tehcnol, Dept Comp Sci, Mil Coll Signals, Rawalpindi, Punjab, Pakistan

[2] Natl Univ Sci & Technol, Coll Elect & Mech Engn, Dept Comp Sci, Islamabad, Pakistan

来源：

EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年 / 5754卷

关键词：

Automated Threat Evaluation (TE) and Weapon Assignment (WA) - (TEWA); Optimization Algorithm; Decision Support System; Artificial intelligence - Cybernetics application; preferential/subtractive defense strategies; DA based weapon allocation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a decision support based, dynamic approach to optimal threat evaluation and defensive resource scheduling. The algorithm provides flexibility and optimality by swapping between two objective functions, based on preferential and subtractive defense strategies, as and when required. Analysis part of this paper presents the strengths and weaknesses of the proposed algorithm over an alternative greedy algorithm as applied to different offline scenarios.

引用

页码：8 / +

页数：3

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