Genetic Algorithms

The broad objectives of this paper are to provide a brief introduction to genetic algorithms (GAs) that covers their fundamental components and mechanisms, to give a brief account of GA applications in transportation, and to provide a concise coverage of the means to improve the performance of GAs with special emphasis on parallel GAs. Section 1 is a brief overview of GAs including coverage of the primary components and functional steps, along with a brief note on why GAs work well. Section 2 discusses the general characteristics of problems for which GAs are particularly suited, presents a summary of GA applications in transportation, and concludes with a discussion of the general pitfalls users should be aware of. Means to improve GA performance and discussion of some advanced topics are the subject of section 3. Section 4 is on parallel GAs.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Figures; References;
  • Pagination: pp 49-71
  • Monograph Title: Artificial Intelligence in Transportation: Information for Application
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01042144
  • Record Type: Publication
  • Files: TRIS, TRB
  • Created Date: Feb 15 2007 10:51AM