Traditional engineering design optimisation which is the process of identifying the right combination of product parameters is often done manually, time consuming and involves a step by step approach. This paper identifies recent approaches to automating the manual optimisation process and the challenges that it presents to the engineering community. Engineering design optimisation is classified based on design evaluation effort and degrees of freedom viewpoints. An overview of different approaches for design optimisation is presented. The study identifies scalability as the major challenge for design optimisation techniques. Large scale optimisation requires significant computing power and efficient algorithms such as swarm intelligence.

Recent Advances in Engineering Design Optimisation: Challenges and Future Trend / R., Roy; S., Hinduija; Teti, Roberto. - In: CIRP ANNALS. - ISSN 0007-8506. - STAMPA. - 57:2(2008), pp. 697-715.

Recent Advances in Engineering Design Optimisation: Challenges and Future Trend

TETI, ROBERTO
2008

Abstract

Traditional engineering design optimisation which is the process of identifying the right combination of product parameters is often done manually, time consuming and involves a step by step approach. This paper identifies recent approaches to automating the manual optimisation process and the challenges that it presents to the engineering community. Engineering design optimisation is classified based on design evaluation effort and degrees of freedom viewpoints. An overview of different approaches for design optimisation is presented. The study identifies scalability as the major challenge for design optimisation techniques. Large scale optimisation requires significant computing power and efficient algorithms such as swarm intelligence.
2008
Recent Advances in Engineering Design Optimisation: Challenges and Future Trend / R., Roy; S., Hinduija; Teti, Roberto. - In: CIRP ANNALS. - ISSN 0007-8506. - STAMPA. - 57:2(2008), pp. 697-715.
File in questo prodotto:
File Dimensione Formato  
CIRP KEYNOTE 2008_TETI.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: Accesso privato/ristretto
Dimensione 1.91 MB
Formato Adobe PDF
1.91 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/349682
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 217
  • ???jsp.display-item.citation.isi??? ND
social impact