A cross-disciplinary technology transfer for search-based evolutionary computing: from engineering design to software engineering design

Simons, C. print and Parmee, I. print (2007) A cross-disciplinary technology transfer for search-based evolutionary computing: from engineering design to software engineering design. Engineering Optimization, 39 (5). 631 - 648. ISSN 0305-215X

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Publisher's URL: http://dx.doi.org/10.1080/03052150701382974

Abstract

In this paper, the search of conceptual software design space by multi-objective genetic operators is evaluated against two industrial sized case studies. In both case studies, useful, interesting and novel design solution variants of equivalent or superior fitness to human-performed design are achieved. This suggests that multi-objective evolutionary search techniques show great promise as an original and robust basis for interactive, computationally intelligent conceptual software design support tools.

Item Type:Article
Uncontrolled Keywords:engineering design, software engineering design, search-based evolutionary computing
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Artificial Intelligence Group
ID Code:5939
Deposited By: R. print Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:14 May 2013 16:26

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