Kopsavilkums
Economic benefit of an industrial company depends on forethought deployment of an industrial production system. Production processes are being optimized using variety of models in order to maximize revenue of the company. Application of robotic systems on the production sites increases effectiveness of the industrial company providing variety of automation approaches. Configuration of robotic system affects whole production process, and selection of inappropriate option can lead to financial losses of the company. Authors propose the procedure for optimization of specification of multi-robot system which is based on decomposition approach and use genetic algorithm for initial evaluation of the solution candidates. Paper describes setup of genetic algorithm used as well as estimation model for investment and operating costs, which is used as fitness function in genetic algorithm.
| Oriģinālvaloda | Angļu |
|---|---|
| Publikācijas avota nosaukums | Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012 |
| Lapas | 313-317 |
| Lapu skaits | 5 |
| DOIs | |
| Publikācijas statuss | Publicēts - 2012 |
| Ārēji publicēts | Jā |
| Pasākums | 2012 13th International Carpathian Control Conference, ICCC 2012 - High Tatras, Slovākija Ilgums: 28 maijs 2012 → 31 maijs 2012 |
Publikāciju sērijas
| Nosaukums | Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012 |
|---|
Konference
| Konference | 2012 13th International Carpathian Control Conference, ICCC 2012 |
|---|---|
| Valsts/Teritorija | Slovākija |
| Pilsēta | High Tatras |
| Periods | 28/05/12 → 31/05/12 |
ANO IAM
Šis izpildes rezultāts palīdz sasniegt šādus ANO ilgtspējīgas attīstības mērķus (IAM)
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9. IAM — Rūpniecība, Inovācija un Infrastruktūra
OECD Zinātnes nozare
- 2.3 Mašīnbūve un mehānika
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