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Genetic programming approach for autonomous vehicles [Elektronski vir]Kovačič, Miha, 1974- ; Brezočnik, Miran ; Balič, JožeThe autonomous mobility will be of essential importance in the next-generation manufacturing systems. The aim of autonomous mobility is the transport of material and informational resources among the ... production cells. The autonomous robots must have the capacity of learning and autonomous deciding in the dynamic production environment. The paper discusses about using genetic programming for intelligent path planning of autonomous vehicles. The concept imitates the natural evolution of living organisms, where in the struggle for natural resources the successful individuals gradually become more and more dominant, and adaptable to the environment in which they live, whereas the less successful ones are present in the next generations rarely. In the proposed concept the traveling strategies leading the robot to the goal location undergo adaptation. During the simulated evolution more and more successful organisms (paths) emerge on the basis of given environment.Vrsta gradiva - prispevek na konferenciLeto - 2004Jezik - angleškiCOBISS.SI-ID - 9037590
Avtor
Kovačič, Miha, 1974- |
Brezočnik, Miran |
Balič, Jože
Teme
inteligentni proizvodni sistemi |
avtonomna vozila |
avtonomna mobilnost |
obdelovalni sistemi |
genetsko programiranje |
genetski algoritem |
programiranje poti |
intelligent manufacturing systems |
autonomous vehicles |
autonomous mobility |
transport |
genetic programming |
genetic algorithm |
path programming
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Kovačič, Miha, 1974- | 21381 |
Brezočnik, Miran | 12657 |
Balič, Jože | 04011 |
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