"Pittsburgh-style learning classifier system for multiple environments: ..."

Keiji Sato, Keiki Takadama (2011)

> Home

Details and statistics

DOI: 10.1504/IJBIC.2011.043609

access: closed

type: Journal Article

metadata version: 2020-07-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ijbic/SatoT11
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ijbic/SatoT11
Keiji Sato, Keiki Takadama:
Pittsburgh-style learning classifier system for multiple environments: towards robust waterbus route for several situations. Int. J. Bio Inspired Comput. 3(6): 370-383 (2011)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.