Genetic Algorithm Based Optimization of Advanced Solar Cell Designs Modeled in SILVACO ATLAS(Trademark)

Abstract

A genetic algorithm was used to optimize the power output of multi-junction solar cells. Solar cell operation was modeled using the Silvaco ATLASTM software. The output of the ATLASTM simulation runs served as the input to the genetic algorithm. The genetic algorithm was run as a diffusing computation on a network of eighteen dual processor nodes. Results showed that the genetic algorithm produced better power output optimizations when compared with the results obtained using the hill climbing/gradient approach.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA457248

Entities

People

  • James Utsler

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • C Programming Language
  • Charge Carriers
  • Computations
  • Computer Architecture
  • Computer Programming
  • Computer Programs
  • Computers
  • Crystal Lattices
  • Distributed Computing
  • Energy Bands
  • Genetic Algorithms
  • Operating Systems
  • Semiconductor Devices
  • Semiconductors
  • Simulations
  • Solar Cells

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.
  • Solar Photovoltaics and Thermoelectric Devices.

Technology Areas

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