Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/82384

Title

Quality assessment of multiobjective optimisation algorithms in component deployment

Author(s)

Aleti, Aldeida

Abstract

Measuring the quality of the approximate sets in a quantitative way is important to asses the performance of multiobjective optimisation algorithms and decide which algorithm performs best in a problem domain. In the case of component deployment optimisation of automotive systems, despite the wide range of optimisation methods already published, it is still unknown which algorithm is the optimal choice. Several studies can be found in the literature that address the problem of comparing approximate sets in a quantitative manner, reflecting a specific feature of the optimisation method, i.e. either convergence or diversity. However, both convergence and diversity are important quality aspects and both should be considered to define dominance relations. The aim of this study is a new quality assessment method for approximate sets, which will indicate dominance relations based on both convergence and diversity.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Proceedings of the Doctoral Symposium for ESEC/FSE (ESEC-FSE'09), Amsterdam, The Netherlands, 25 August 2009, pp. 39-40

Publication year

2009

Keyword(s)

Algorithms;  Component deployment;  Multiobjective optimisation;  Optimisation methods;  Quality metrics;  Software engineering

Publisher

ACM Press

ISBN

9781605587318, 1605587311

Publisher URL

http://dx.doi.org/10.1145/1595782.1595799

Copyright

Copyright © is held by the author/owner(s).

Research Projects

Safe and reliable integration and deployment architectures for automotive software systems, Cooperative Research Centre for Advanced Automotive Technology (AutoCRC) grant number C4-501

Peer reviewed