Adaptation and Speciation in Genetic Modeling of Physical Systems

Abstract

A genetic algorithm has been used to allow a population of first principles lithium-ion(Li-ion) battery cell models to adapt to a database obtained from life-testing 50-Ah Li-ion cells. This adaptive process allows the fundamental processes that control the cell performance to be extracted from the life test data. During the process of genetic adaptation, the population of battery cell models has been observed to separate into two distinct species of models. The emergence of separate species is recognized by the inability to produce viable offspring models from mixtures of the genetic codes for the two species. In this situation, the two species are found to co-exist for up to many hundreds of generations. However, one of the two species eventually suffered extinction because it did not retain adequate genetic diversity and because its fitness did not continue to improve as did that of the other species. The dynamics involved in genetic adaptation of battery cell models, including the roles of speciation and extinction, are described.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2009
Accession Number
ADA514694

Entities

People

  • Albert H. Zimmerman

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Chemical Reactions
  • Chemistry
  • Compound Semiconductors
  • Demographic Cohorts
  • Demography
  • Detectors
  • Genetic Algorithms
  • Genetic Code
  • Genetic Variation
  • Life Tests
  • Materials
  • Microelectromechanical Systems
  • Physics
  • Reliability
  • Space Systems
  • Test And Evaluation

Fields of Study

  • Biology

Readers

  • Battery Technology and Engineering
  • Combustion science or combustion engineering.
  • Molecular and genetic basis of cancer.

Technology Areas

  • AI & ML
  • Biotechnology