Jadhav, ShashankShashankJadhavFalk, HeikoHeikoFalk2023-10-122023-10-122023-07-2621st International Workshop on Worst-Case Execution Time Analysis (WCET 2023)978-3-95977-293-8https://hdl.handle.net/11420/43670Embedded real-time multi-task systems must often not only comply with timing constraints but also need to meet energy requirements. However, optimizing energy consumption might lead to higher Worst-Case Execution Time (WCET), leading to an un-schedulable system, as frequently executed code can easily differ from timing-critical code. To handle such an impasse in this paper, we formulate a Metaheuristic Algorithm-based Multi-objective Optimization (MAMO) for multi-task real-time systems. But, performing multiple WCET, energy, and schedulability analyses to solve a MAMO poses a bottleneck concerning compilation times. Therefore, we propose two novel approaches - Path-based Constraint Approach (PCA) and Impact-based Constraint Approach (ICA) - to reduce the solution search space size and to cope with this problem. Evaluations showed that PCA and ICA reduced compilation times by 85.31% and 77.31%, on average, over MAMO. For all the task sets, out of all solutions found by ICA-FPA, on average, 88.89% were on the final Pareto front.enhttps://creativecommons.org/licenses/by/4.0/CompilersDesign space reductionMetaheuristic algorithmsMulti-objective optimizationReal-time systemsComputer SciencesMathematicsConference Paper10.15480/882.871010.4230/OASIcs.WCET.2023.510.15480/882.8710Conference Paper