A comparison of genetic programming and genetic algorithms for auto-tuning mobile robot motion control

M. Walker, C. H. Messom

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)

Abstract

This paper discusses the use of genetic programming (GP) and genetic algorithms (GA) to evolve solutions to a problem in robot control. GP is seen as an intuitive evolutionary method while GAs require an extra layer of human intervention. The infrastructures for the different evolutionary approaches are compared.

Original languageEnglish
Title of host publicationProceedings - 1st IEEE International Workshop on Electronic Design, Test and Applications, DELTA 2002
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages507-509
Number of pages3
ISBN (Electronic)0769514537, 9780769514536
DOIs
Publication statusPublished - 2002
Externally publishedYes
EventIEEE International Symposium on Electronic Design, Test and Applications (DELTA) 2002 - Christchurch, New Zealand
Duration: 29 Jan 200231 Jan 2002
Conference number: 1st

Conference

ConferenceIEEE International Symposium on Electronic Design, Test and Applications (DELTA) 2002
Abbreviated titleDELTA 20002
CountryNew Zealand
CityChristchurch
Period29/01/0231/01/02

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