A Highly Functional Decision Paradigm Based on Nonlinear Adaptive Genetic Algorithm

Abstract

In Phase 2, the genetic algorithm (GA) developed in Phase 1 was refined and integrated with a neural network for network topology optimization. In addition, a Mathlink GA was developed as a Mathematica module. POC wrote the Mathematica plug-in module as a function optimizer using Mathlink. The GA route optimizer was written, tested, and demonstrated. On the hardware side, a TMS320C80 based parallel DSP board was used as a testbed for parallel GA. The GA programs running on the parallel computing hardware exhibited a significant speedup.

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Document Details

Document Type
Technical Report
Publication Date
Oct 07, 1997
Accession Number
ADA344278

Entities

People

  • Andrew Kostrzewski
  • Jeongdal Kim

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • Communication Channels
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Flight Paths
  • Genetic Algorithms
  • Graphical User Interface
  • Network Architecture
  • Network Topology
  • Neural Networks
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Software Development

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Parallel and Distributed Computing.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology