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Type-Based Genetic Algorithms

  • University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper introduces a novel type-based genetic algorithm and its applications to two well-known problems: N-queen problem and finding the global minimum of the Rosenbrock function. The algorithm offers a new approach to internal structure of individuals in population of genetic algorithms.

Original languageEnglish
Title of host publicationIntelligent Distributed Computing XIII, IDC 2019
EditorsIgor Kotenko, Vasily Desnitsky, Costin Badica, Didier El Baz, Mirjana Ivanovic
PublisherSpringer
Pages170-176
Number of pages7
ISBN (Print)9783030322571
DOIs
StatePublished - 2020
Event13th International Symposium on Intelligent Distributed Computing, IDC 2019 - St. Petersburg, Russian Federation
Duration: Oct 7 2019 → Oct 9 2019

Publication series

NameStudies in Computational Intelligence
Volume868
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference13th International Symposium on Intelligent Distributed Computing, IDC 2019
Country/TerritoryRussian Federation
CitySt. Petersburg
Period10/7/19 → 10/9/19

ASJC Scopus Subject Areas

  • Artificial Intelligence

Keywords

  • Gender-based
  • Genetic algorithm
  • N-queen problem
  • Rosenbrock function
  • Type-based

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