MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences.
Alessio ColucciDávid JuhászMartin MosbeckAlberto MarchisioSemeen RehmanManfred KreutzerGünther NadbathAxel JantschMuhammad ShafiquePublished in: DATE (2021)
Keyphrases
- pareto optimal
- machine learning
- multiple objectives
- multi objective
- optimization algorithm
- multi objective optimization
- multiobjective optimization
- nsga ii
- pareto optimality
- multi issue negotiation
- nash equilibrium
- optimization problems
- pareto optimal set
- conflicting objectives
- evolutionary algorithm
- hidden markov models
- knapsack problem
- statistical methods
- multi objective evolutionary algorithms
- pareto optimal solutions
- human behavior
- bi objective
- social welfare
- combinatorial optimization
- computational intelligence