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Št. zadetkov: 5
Comparing algorithm selection approaches on black-box optimization problems
Ana Kostovska, Anja Janković, Diederick Vermetten, Sašo Džeroski, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: algoritmi;optimizacija;računalniški sistemi;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Quantifying individual and joint module impact in modular optimization frameworks
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: metapodatki;strojno učenje;meta-learning;single-objective optimization;module importance;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Using machine learning methods to assess module performance contribution in modular optimization frameworks
Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov
Izvirni znanstveni članek
Oznake: mreže;algoritmi;evolutionary computation;modular algorithm frameworks;DE;
Modular algorithm frameworks not only allow for combinations never tested in manually selected algorithm portfolios, but they also provide a structured approach to assess which algorithmic ideas are crucial for the observed performance of algorithms. In this study, we propose a methodology for analy ...
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
PS-AAS
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Janković, Ana Nikolikj, Urban Škvorc, Peter Korošec, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: automated algorithm selection;portfolio selection;black box optimization;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Assessing the generalizability of a performance predictive model
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries P. Engelbrecht, Carola Doerr, Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: algorithms;predictive models;machine learning;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 5
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