| [176830] |
| Title: Multi-Objective Optimization for the Compiler of Real-Time Systems based on Flower Pollination Algorithm. <em>In Proceedings of the 22nd International Workshop on Software & Compilers for Embedded Systems (SCOPES)</em> |
| Written by: Shashank Jadhav and Heiko Falk |
| in: May (2019). |
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| on pages: 45-48 |
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| Series: 201905-scopes-jadhav.pdf |
| Address: St. Goar / Germany |
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| ISBN: 10.1145/3323439.3323977 |
| how published: 19-80 JF19a SCOPES |
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Note: sjadhav, hfalk, teamplay, ESD, WCC
Abstract: 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.