{"id":323,"date":"2023-10-28T12:31:05","date_gmt":"2023-10-28T10:31:05","guid":{"rendered":"https:\/\/pmrobots.com\/?page_id=323"},"modified":"2023-12-28T12:11:46","modified_gmt":"2023-12-28T11:11:46","slug":"algorithms","status":"publish","type":"page","link":"https:\/\/pmrobots.com\/de\/algorithms\/","title":{"rendered":"PM2A"},"content":{"rendered":"
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Process manufacturing 2 Algorithmen<\/span><\/h2><\/div>Innovative Dienstleistung. Entwicklung, Implementierung und Management von Algorithmen und Prozessen zur Verbesserung der Effizienz von Produktionssystemen. <\/span><\/div>\n<\/div><\/div><\/div>\n\n\n\n
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Modellierung<\/h3><\/a>

Eingangsdaten und Modellierung<\/p><\/div><\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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Daten<\/h3><\/a>

Dateneingabe und -speicherung<\/p><\/div><\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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Entwurf<\/h3><\/a>

Entwurf des Algorithmus<\/p><\/div><\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n\n\n\n

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Analyse<\/h3><\/a>

Gr\u00f6\u00dfenordnung und Effizienz<\/p><\/div><\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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Ziel<\/h3><\/a>

Prozessierung der Zielfunktion<\/p><\/div><\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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Einsatz<\/h3><\/a>

Validierung und Umsetzung<\/p><\/div><\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n\n\n\n

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Modellierung <\/h2>\n\n\n\n
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Die Problemannahmen und Ausgangsdaten werden bestimmt, wobei best\u00e4tigt wird, dass die vorgenommene Ann\u00e4herung den erwarteten L\u00f6sungstyp liefert.<\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n\n\n\n

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Daten<\/h2>\n\n\n\n
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\u00dcberpr\u00fcfung der verf\u00fcgbaren Daten und Auswahl der f\u00fcr das Problem geeigneten Struktur.<\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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Entwurf <\/h2>\n\n\n\n
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Entwurf des Algorithmus unter Verwendung einer der verschiedenen Probleml\u00f6sungstechniken, wie z. B. der Voracious-Technik, der Divide-and-Conquer-Technik, der dynamischen Programmierung, der linearen Programmierung und der Verwendung von Graphen.<\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n\n\n\n

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Analyse<\/h2>\n\n\n\n
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Analyse des Algorithmus, Bewertung seiner Effizienz anhand der maximalen Anzahl von Operationen, die der Algorithmus zur L\u00f6sung des Problems durchf\u00fchrt.<\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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Ziel <\/h2>\n\n\n\n
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Festlegung der Ziel- oder Mehrzielfunktion, die es erm\u00f6glicht, die optimale L\u00f6sung unter allen m\u00f6glichen L\u00f6sungen zu finden.<\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n<\/div><\/div><\/div>\n<\/div><\/section><\/div>\n\n\n\n

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Einsatz<\/h2>\n\n\n\n
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Festlegung einer Strategie zur \u00c4nderung der Hyperparameter, wobei mehrere Tests des gew\u00e4hlten Algorithmus mit jedem Satz von Hyperparametern durchgef\u00fchrt werden und derjenige ausgew\u00e4hlt wird, der das beste Ergebnis liefert. Es wird ein Protokoll \u00fcber m\u00f6gliche Verbesserungen, die in Zukunft umgesetzt werden sollen, und \u00fcber die gewonnenen Erkenntnisse erstellt.<\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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