Title: A review of concurrent optimisation methods

Authors: Xiaofen Lu; Ke Tang; Bernhard Sendhoff; Xin Yao

Addresses: Center of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications, School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui 230027, China ' USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications, School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui 230027, China ' Honda Research Institute Europe GmbH, Offenbach 63073, Germany ' Center of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications, School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui 230027, China

Abstract: During the past decades, products and their manufacturing processes have become much more complex than before. This has led to complex optimisation problems that require optimising the complicated product development process or the physical aspects of products with respect to a lot of design variables. A common approach to address these problems is to decompose the problem into a number of simpler sub-problems and optimise each sub-problem concurrently. This idea has been investigated in different research fields, including concurrent engineering (CE) and cooperative coevolution (CC). In this paper, main topics in CE and CC are reviewed, and the relationships between CE and CC are discussed along with some potential combinations between them.

Keywords: concurrent engineering; simultaneous engineering; cooperative coevolution; decomposition; concurrent optimisation.

DOI: 10.1504/IJBIC.2014.059968

International Journal of Bio-Inspired Computation, 2014 Vol.6 No.1, pp.22 - 31

Received: 16 Nov 2013
Accepted: 26 Nov 2013

Published online: 27 Sep 2014 *

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