Jadhav, ShashankShashankJadhavFalk, HeikoHeikoFalk2019-05-282019-05-282019-05SCOPES '19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded SystemsMay 2019 Pages 45–48http://hdl.handle.net/11420/2724Real-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.enhttp://rightsstatements.org/vocab/InC/1.0/MathematikIngenieurwissenschaftenMulti-objective optimization for the compiler of real-time systems based on flower pollination algorithmConference Paperurn:nbn:de:gbv:830-882.03555310.15480/882.226910.1145/3323439.332397710.15480/882.2269Conference Paper