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Multi-objective optimization for the compiler of real-time systems based on flower pollination algorithm
Citation Link: https://doi.org/10.15480/882.2269
Publikationstyp
Conference Paper
Date Issued
2019-05
Sprache
English
Author(s)
Institut
TORE-DOI
TORE-URI
Start Page
45
End Page
48
Citation
SCOPES '19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded SystemsMay 2019 Pages 45–48
Contribution to Conference
Publisher DOI
Scopus ID
Real-time systems usually face stringent constraints such as execution time, energy consumption, code-size etc. Performing multi-objective optimization at compile time is one way to find approximations over the possible solutions which fulfill these constraints. Flower pollination algorithm (FPA) is a relatively recently proposed metaheuristic algorithm which makes use of the evolutionary characteristics of flower pollination process to find solutions to an optimization problem. In this paper, we propose a theoretical framework for an extension for the WCET-Aware C Compiler (WCC) framework for performing multi-objective optimizations based on the FPA during compile time.
DDC Class
510: Mathematik
620: Ingenieurwissenschaften
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