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.

• Record URL:
  http://www.trb.org/Publications/Blurbs/158428.aspx
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00978515
• Authors:
  • Abu-Lebdeh, Ghassan
• Publication Date: 2007-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 49-71
• Monograph Title: Artificial Intelligence in Transportation: Information for Application
• Serial:
  • Transportation Research Circular
  • Issue Number: E-C113
  • Publisher: Transportation Research Board
  • ISSN: 0097-8515

Subject/Index Terms

• TRT Terms: Applications; Artificial intelligence; Genetic algorithms; Transportation
• Uncontrolled Terms: Parallel genetic algorithms
• Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

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