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3.6.4 Discrete System Optimization Using Cost as an Independent Variable (CAIV) Techniques With Distributed Analysis Models
Author(s) -
Malone Brett,
Woyak Scott
Publication year - 2003
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2003.tb02668.x
Subject(s) - variable (mathematics) , computer science , set (abstract data type) , distributed computing , host (biology) , mathematical analysis , ecology , mathematics , biology , programming language
A design environment has been constructed to assist designers and analysts in performing concept studies and optimization based on distributed analysis to support cost as an independent variable (CAIV) studies. This environment uses application server‐based techniques to host distributed simulations and analysis tools. These components are then linked through a common client interface to build an integrated model. A set of unique design exploration tools provides the analyst with a decision support environment for performance, cost, and operational assessments. A design example based on this architecture is shown. This example illustrates discrete configuration selection of platform and sensor types based on a non‐gradient based optimization algorithm to defeat various threats given system cost constraints.

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