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A genetic-based approach to simulation of self-organizing assemblyBrezočnik, Miran ; Balič, JožeThe paper proposes a new and innovative biologically oriented idea in conceiving intelligent systems in modern factories of the future. The intelligent system is treated as an autonomous organization ... structure efficiently adapting itself to the dynamc changes in the production environment and the environment in a wider sense. Simulation of self-organizing assembly of mechanical parts (basic components) into the product is presented as an example of the intelligent system. The genetic programming method is used. The genetic-based assembly takes place on the basis of the genetic content in the basic components and the influence of the environment. The evolution of solutions happens in a distributed way, nondeterministically, bottom up, and in a self-organizing manner. The paper is also a contribution to the international research and development programm intelligent manufacturing systems, which is one of the biggest projects ever introduced.Vir: Robotics and computer-integrated manufacturing. - ISSN 0736-5845 (Vol. 17, no 1/2, feb.-apr. 2001, str. 113-120)Vrsta gradiva - članek, sestavni delLeto - 2001Jezik - angleškiCOBISS.SI-ID - 6144534
Avtor
Brezočnik, Miran |
Balič, Jože
Drugi avtorji
International conference on flexible automation and intelligent manufacturing
Teme
proizvodni sistemi |
umetna inteligenca |
genetsko programiranje |
samoorganizirana montaža |
simulacije |
evolucijske metode |
manufacturing systems |
artificial intelligence |
genetic programming |
self-organizing assembly |
simulation |
evolution
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Brezočnik, Miran | 12657 |
Balič, Jože | 04011 |
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