Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2269
Fulltext available Open Access
Publisher DOI: 10.1145/3323439.3323977
Title: Multi-objective optimization for the compiler of real-time systems based on flower pollination algorithm
Language: English
Authors: Jadhav, Shashank  
Falk, Heiko  
Issue Date: May-2019
Source: SCOPES '19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded SystemsMay 2019 Pages 45–48
Abstract (english): 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.
Conference: 22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES ’19) 
URI: http://hdl.handle.net/11420/2724
DOI: 10.15480/882.2269
ISBN: 978-1-4503-6762-2
Institute: Eingebettete Systeme E-13 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Project: Time, Energy and security Analysis for Multi/Manycore heterogenous PLAtforms - TeamPlay 
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