MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences.
Alessio ColucciDávid JuhászMartin MosbeckAlberto MarchisioSemeen RehmanManfred KreutzerGuenther NadbathAxel JantschMuhammad ShafiquePublished in: CoRR (2020)
Keyphrases
- pareto optimal
- machine learning
- multiple objectives
- multi objective
- conflicting objectives
- optimization algorithm
- multi objective optimization
- optimization problems
- multi issue negotiation
- pareto optimality
- nsga ii
- optimal solution
- pareto optimal set
- hidden markov models
- nash equilibrium
- neural network
- particle swarm optimization
- evolutionary algorithm
- multiobjective optimization
- social welfare
- pareto optimal solutions
- learning algorithm
- statistical methods
- combinatorial optimization
- search space
- multi agent systems