Publication
Title
Search-based model optimization using model transformations
Author
Abstract
Design-Space Exploration (DSE) and optimization look for a suitable and optimal candidate solution to a problem, with respect to a set of quality criteria, by searching through a space of possible solution designs. Search-Based Optimization (SBO) is a well-known technique for design-space exploration and optimization. Model-Driven Engineering (MDE) offers many benefits for creating a general approach to SBO, through a suitable problem representation. In MDE, model transformation is the preferred technique to manipulate models. The challenge thus lies in adapting model transformations to perform SBO tasks. In this paper, we demonstrate that multiple SBO techniques are easily incorporated into MDE. Through a non-trivial example of electrical circuit generation, we show how this approach can be applied, how it enables simple switching between different SBO approaches, and integrates domain knowledge, all within the modeling paradigm.
Language
English
Source (journal)
Lecture notes in computer science. - Berlin, 1973, currens
Publication
Berlin : 2014
ISSN
0302-9743 [print]
1611-3349 [online]
Volume/pages
8769(2014), p. 80-95
ISI
000349860800008
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 08.05.2015
Last edited 16.06.2017
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