Multi-Objective Optimization for the Compiler of Real-Time Systems based on Flower Pollination Algorithm

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-A ware C Compiler (WCC) framework [2] for performing multi-objective optimizations based on the FPA during compile time.