Evolving multiple sensory-motor controllers based on cellular neural network

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

There has been extensive work to construct an optimal neural network for controlling a mobile robot by evolutionary approaches such as genetic algorithm, genetic programming, and so on. However, evolutionary approaches have a difficulty to obtain the controller that conducts complex and general behaviors. In order to overcome this short-coming, we propose a method of combining several evolved modules by a rule-based approach. The multi-modules integration method can make complex and general behaviors by combining several modules evolved or programmed to do simple behavior. Experimental results show the potential of the multi-modules integration method as a sophisticated technique to make the evolved neural network to do complex and general behaviors.

Original languageEnglish
Pages2218-2222
Number of pages5
Publication statusPublished - 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: 2001 Jul 252001 Jul 28

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period01/7/2501/7/28

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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