Genetic algorithms for fuzzy controllers.

Details

• Personal Author:
  Karr, Charles L.
• Description:
  Genetic algorithms (GA's) are a search technique drawing increasing attention in the field of optimization. GA's are algorithms that use operations found in natural genetics to guide their trek through a search space. The robust nature and simple mechanics of GA's make them inviting tools not only for establishing membership functions, but also for selecting rules to be used in fuzzy logic controllers. GA's are also potentially useful for selecting rules owing to some special traits that differentiate them from conventional techniques. [Description provided by NIOSH]
• Subjects:
  Occupational Health Safety Software
• Keywords:
  Mathematical-models; Computer-software; Computer-models; Algorithms; Performance
• Series:
  Mining Publications
• ISSN:
  0888-3785
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Alabama ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  TURC - Tuscaloosa Research Center
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  26-33
• Volume:
  6
• Issue:
  2
• NIOSHTIC Number:
  nn:10009132
• Citation:
  AI Expert 1991 Feb; 6(2):26-33
• Federal Fiscal Year:
  1991
• Peer Reviewed:
  False
• Source Full Name:
  AI Expert
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7dc847c09aedf140bc731323e8446b4703641ae07d6ad9e7b7238120dab30b8f7dcaa9b938d34d035f87873a0fe7fec262d5d13dcaf290925445e82b6de3b57d
• Download URL:
  https://stacks.cdc.gov/view/cdc/240586/cdc_240586_DS1.pdf
• File Type:
  [PDF - 168.02 KB ]