Integrated Risk-Sensitive, Simulation-Based and Graphical Methodologies for Estimation and Control

Abstract

In support of the second task, the researchers made progress incorporating simulation-based optimization and population-based methods into optimization problems. They made significant progress on new simulation-based global optimization methods, as well as on evolutionary approaches to solving Markov Decision Processes (MDPs), new sampling methods for MDPs, simulation based methods for MDPs, new approaches to the allocation of simulation replications for optimization, and applications of these algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Oct 18, 2007
Accession Number
ADA474241

Entities

People

  • Steven I Marcus

Organizations

  • University of Maryland

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Command And Control
  • Computational Complexity
  • Computational Science
  • Computer Simulations
  • Information Science
  • Machine Learning
  • Monte Carlo Method
  • Neural Networks
  • Operations Research
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Sensor Networks
  • Simulations
  • Systems Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.