Marescaux, Mlle Eugenie (2019) Study of a multi-objective optimization framework, the SOFOMORE framework PFE - Project Graduation, ENSTA.
Real-world problems are often about optimizing simultaneously several criteria. You can solve this problem as single-objective problems, but you will have to make choices before-hand about which kind of compromises you want. Multi-objective optimization algorithms aim at obtaining information on the whole range of best- compromises, the Pareto set and the Pareto front. SOFOMORE framework is a recent framework allowing to create multi-objective algorithms from single-objective algo- rithms, allowing to exploit the full diversity of single-objective algorithms. In this master thesis, we had two goals. The first was to obtain convergence results to under- stand better its behavior theoretically . The other was to design an extension of this framework.
|Item Type:||Thesis (PFE - Project Graduation)|
|Uncontrolled Keywords:||multi-objective optimization, proof of convergence, algorithm design|
|Subjects:||Mathematics and Applications|
|Deposited By:||Eugénie Marescaux|
|Deposited On:||22 janv. 2020 13:29|
|Dernière modification:||22 janv. 2020 13:29|
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