文档介绍：CIRP Annals - Manufacturing Technology 57 (2008) 697–715
Contents lists available at ScienceDirect
CIRP Annals - Manufacturing Technology
journal homepage: http://ees./cirp/
Recent advances in engineering design optimisation: Challenges and future trends
Rajkumar Roy (2)a,*, Srichand Hinduja (1)b, Roberto Teti (1)c
a Decision Engineering Centre, Department of Manufacturing, Cranfield University, Cranfield, Bedford MK43 0AL, UK
b School of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M60 1QD, UK
c Department of Materials and Production Engineering, University of Naples Federico II, 80125 Naples, Italy
ARTICLE INFO ABSTRACT
Keywords: Traditional engineering design optimisation which is the process of identifying the bination of
Design product parameters is often done manually, time consuming and involves a step by step approach. This
Optimisation paper identifies recent approaches to automating the manual optimisation process and the challenges
Algorithm that it presents to the munity. 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 puting power and efficient
algorithms such as swarm intelligence.
ß 2008 CIRP.
1. Introduction the constraints arising from these interfaces such as manufactur-
ability. It should be noted that optimisation of anisation/
Every time a product is created or designed to satisfy human management of the design process [3–5] is not included in the
needs, the creator tries to achieve the best solution for the task in paper. It is recognised that the design is dependent on the
hand and therefore performs optimisation. Engineering design manufacturing processes to be used and the whole life cycle issues.
optimis