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Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
| Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| Autore | Modrak Vladimir |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (200 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
assembly line balancing
Baltic bottleneck station candidate order-based genetic algorithm cell formation cell manufacturing design cluster algorithm combinatorial optimization customization cutting force decision-making design of experiments digital platforms electrochemical machining (ECM) facility layout flexible job-shop scheduling problem genetic algorithm grass-hooper optimization algorithm grey wolf optimizer (GWO) group technology harmony search algorithm Hastelloy X heuristic approach hybrid bat algorithm insurance liquid nitrogen machine and process selection makespan material removal rate (MRR) metaheuristic algorithm Monel 400 alloys moth-flame optimization algorithm moth-flame optimization algorithm (MFO) multi-criteria assessment multichromosome n/a nickel presence (NP) operational complexity optimization optimization problem output rate overrunning clutch assembly personalization production line balancing rate selective assembly surface roughness the distributed assembly permutation flowshop scheduling problem tolerance allocation turning univariate search method variable neighborhood descent whale optimization algorithm |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580213603321 |
Modrak Vladimir
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva
| Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva |
| Autore | Ogliari Emanuele |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
artificial neural network
online diagnosis genetic algorithm renewable energy unit commitment photovoltaic panel power forecasting metaheuristic monitoring system embedded systems firefly algorithm tracking system MPPT algorithm integrated storage day-ahead forecast solar radiation prototype model artificial neural networks parameter extraction thermal image thermal model solar cell PV cell temperature evolutionary algorithms uncertainty battery harmony search meta-heuristic algorithm single-diode photovoltaic model symbiotic organisms search photovoltaics tilt angle smart photovoltaic system blind orientation photovoltaic particle swarm optimization analytical methods computational intelligence statistical errors ensemble methods solar photovoltaic electrical parameters demand response metaheuristic algorithm |
| ISBN |
9783039210992
3039210998 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674025103321 |
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Ogliari Emanuele
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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