Using a Multi-Agent Evidential Reasoning Network as the Objective Function for an Evolutionary Algorithm

Abstract

A culturally diverse group of people are now participating in military multinational coalition operations (e.g., combined air operations center, traning exercises such as Red Flag at Nellis AFB, NATO AWACS), as well as in extreme environments. Human biases and routines, capabilities, and limitations strongly influence overall system performance, whether during operations or simulations using models of humans. Many missions and environments challenge human capabilities (eg., combat stress, waiting, fatigue from long duty hours or tour of duty). This paper presents a team selection algorithm based on an evolutionary algorithm. The main difference between this and the standard EA is tha a new form of objective function is used that incorporates the beliefs and uncertainties of the data. Preliminary results show that this selection algorithm will be very beneficial for very large data sets with multiple constraints and uncertainties. This algorithm will be utilized in a military unit selection tool.

Meeting Name

Evolutionary and Bio-inspired Computation: Theory and Applications (2007: Apr. 12-13, Orlando, FL)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Evidential reasoning network; Evolutionary algorithm; Multi-agent; Subjective logic

International Standard Book Number (ISBN)

978-081946685-3

International Standard Serial Number (ISSN)

0277-786X

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2007 SPIE, All rights reserved.

Publication Date

01 Apr 2007

Link to Full Text

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