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Implementation of a Genetic Algorithm for Routing an Autonomous Robot
Örebro University, Department of Technology.
Örebro University, Department of Natural Sciences.ORCID iD: 0000-0002-7927-9440
1997 (English)In: Robotica (Cambridge. Print), ISSN 0263-5747, E-ISSN 1469-8668, Vol. 15, no 2, p. 207-211Article in journal (Refereed) Published
Abstract [en]

A practical implementation of a genetic algorithm for routing a real autonomous robot through a changing environment is described. Moving around in a production plant the robot collects information about its environment and stores it in a temporal map, which is virtually a square grid, taking account of changing obstacles. The evolutional optimizer continuously searches for short paths in this map using string representations of paths as chromosomes. The main features of the implementation include physical realization, random walk exploration, temporal mapping, and dedicated genetic operators.

Place, publisher, year, edition, pages
1997. Vol. 15, no 2, p. 207-211
National Category
Natural Sciences
Research subject
Computer and Systems Science; Mathematics
Identifiers
URN: urn:nbn:se:oru:diva-3985DOI: 10.1017/S0263574797000222ISI: A1997WU53300016OAI: oai:DiVA.org:oru-3985DiVA, id: diva2:138284
Available from: 2007-06-11 Created: 2007-06-11 Last updated: 2024-03-27Bibliographically approved

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Wide, PeterSchellwat, Holger

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