Robust Multi-Scenario Optimization of an Air Expeditionary Force Force Structure Applying Scatter Search to the Combat Forces Assessment Model

Abstract

Modern Times' bring change in all areas of life. Even the rate of change has changed, and is still changing to increase it's enormous speed even more. Newer and more challenging questions face the military analysts everyday putting a question mark at the end of their last answer. Recently, the question of how to structure a robust air force to meet the requirements of competing, uncertain future scenarios has been keeping them busy. The new world order does not tolerate only being able to respond to a single scenario anymore, which once was considered a hard problem . Who knows what comes next? In this thesis, we propose a robust optimization methodology to provide an answer to the multi-scenario optimization problem. The methodology employs a meta-heuristic, Scatter Search, to guide the search of the multi-scenario solution space obtained by the evaluations of CFAM, the model currently used to respond to single theater scenario objectives. A Visual Basic

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2001
Accession Number
ADA390989

Entities

People

  • Gokay Bulut

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Basic Programming Language
  • Combat Forces
  • Computational Science
  • Computer Programming
  • Computers
  • Contingency Operations (Military)
  • Force Structure
  • Genetics
  • Language
  • Linear Programming
  • Machine Learning
  • Mathematical Models
  • Operations Research
  • Optimization
  • Warfare

Readers

  • Aerospace logistics and air mobility.
  • Operations Research
  • Systems Analysis and Design

Technology Areas

  • Space