A Compact Genetic Algorithm with Elitism and Mutation Applied to Image Recognition

  • Authors:
  • Rafael R. Silva;Heitor S. Lopes;Carlos R. Erig Lima

  • Affiliations:
  • Bioinformatics Laboratory, Federal University of Technology Paraná (UTFPR), Curitiba (PR), Brazil 80230-901;Bioinformatics Laboratory, Federal University of Technology Paraná (UTFPR), Curitiba (PR), Brazil 80230-901;Bioinformatics Laboratory, Federal University of Technology Paraná (UTFPR), Curitiba (PR), Brazil 80230-901

  • Venue:
  • ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

The problem of object recognition in images is a hard problem frequently found in industrial and academic application. This work presents the application of an extension of the Compact Genetic Algorithm (emCGA) to three problems of object recognition in real images. Results are compared with an exhaustive search algorithm and another CGA. Results suggested the efficiency of emCGA for this problem and encourages future developments.