Hybrid Metaheuristic Planning and Military Decision-Making: Commonalities between Theory and Practice

Abstract

The paper compares the state of the art in two different problem areas: artificial intelligence (AI) theory and the practice of military planning. In particular, hybrid metaheuristic scheduling and the operational decision-making process are compared. Although very different in nature, they share a striking number of commonalities resulting from their focus on real-world problems. This paper proposes ways in which each field could benefit from the other.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA463261

Entities

People

  • J. L. De Jong
  • Tim J. Grant

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Command And Control
  • Commonality
  • Computer Programs
  • Crisis Management
  • Evolutionary Algorithms
  • Lessons Learned
  • Military Operations
  • Military Planning
  • Netherlands
  • Operations Research
  • Organizational Structure
  • Recognition
  • Simulations
  • Situational Awareness
  • Standards

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms