Computational steering of a multi-objective evolutionary algorithm for engineering design

SHENFIELD, Alex, FLEMING, Peter and ALKAROURI, Muhammad (2007). Computational steering of a multi-objective evolutionary algorithm for engineering design. Engineering Applications of Artificial Intelligence, 20, 1047-1057.

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Abstract

The execution process of an evolutionary algorithm typically involves some trial and error. This is due to the difficulty in setting the initial parameters of the algorithm—especially when little is known about the problem domain. This problem is magnified when applied to many-objective optimisation, as care is needed to ensure that the final population of candidate solutions is representative of the trade-off surface. We propose a computational steering system that allows the engineer to interact with the optimisation routine during execution. This interaction can be as simple as monitoring the values of some parameters during the execution process, or could involve altering those parameters to influence the quality of the solutions produced by the optimisation process. The implementation of this steering system should provide the ability to tailor the client to the hardware available, for example providing a lightweight steering and visualisation client for use on a PDA.

Item Type:	Article
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number:	https://doi.org/10.1016/j.engappai.2007.01.005
Page Range:	1047-1057
Depositing User:	Alex Shenfield
Date Deposited:	07 Aug 2014 09:03
Last Modified:	18 Mar 2021 04:34
URI:	https://shura.shu.ac.uk/id/eprint/8309

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