Published:
TORE TUHH Open Research (Hamburg University of Technology), 2019-05
Language:
English
DOI:
https://doi.org/10.15480/882.2269
ISBN:
978-1-4503-6762-2
Origination:
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
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.