Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Jaszkiewicz, Andrzej"'
Autor:
Kaszuba, Grzegorz, Naghdi, Amirhossein D., Massa, Dario, Papanikolaou, Stefanos, Jaszkiewicz, Andrzej, Sankowski, Piotr
Large language models manifest the ability of few-shot adaptation to a sequence of provided examples. This behavior, known as in-context learning, allows for performing nontrivial machine learning tasks during inference only. In this work, we address
Externí odkaz:
http://arxiv.org/abs/2406.01808
Autor:
Kaszuba, Grzegorz, Dorabati, Amirhossein Naghdi, Papanikolaou, Stefanos, Jaszkiewicz, Andrzej, Sankowski, Piotr
Exploring the vast composition space of multi-component alloys presents a challenging task for both \textit{ab initio} (first principles) and experimental methods due to the time-consuming procedures involved. This ultimately impedes the discovery of
Externí odkaz:
http://arxiv.org/abs/2312.16073
The difficulty of solving a multi-objective optimization problem is impacted by the number of objectives to be optimized. The presence of many objectives typically introduces a number of challenges that affect the choice/design of optimization algori
Externí odkaz:
http://arxiv.org/abs/2106.03275
Autor:
Jaszkiewicz, Andrzej
The outbreak of the global COVID-19 pandemic results in unprecedented demand for fast and efficient testing of large numbers of patients for the presence of SARS-CoV-2 coronavirus. Beside technical improvements of the cost and speed of individual tes
Externí odkaz:
http://arxiv.org/abs/2012.00673
Publikováno v:
In Computers and Operations Research September 2022 145
Autor:
Jaszkiewicz, Andrzej
We propose a new Pareto Local Search Algorithm for the many-objective combinatorial optimization. Pareto Local Search proved to be a very effective tool in the case of the bi-objective combinatorial optimization and it was used in a number of the sta
Externí odkaz:
http://arxiv.org/abs/1707.07899
In this paper we systematically study the importance, i.e., the influence on performance, of the main design elements that differentiate scalarizing functions-based multiobjective evolutionary algorithms (MOEAs). This class of MOEAs includes Multiobj
Externí odkaz:
http://arxiv.org/abs/1703.09469
Autor:
Jaszkiewicz, Andrzej
In this paper, we present a significant improvement of Quick Hypervolume algorithm, one of the state-of-the-art algorithms for calculating exact hypervolume of the space dominated by a set of d-dimensional points. This value is often used as a qualit
Externí odkaz:
http://arxiv.org/abs/1612.03402
Autor:
Jaszkiewicz, Andrzej, Lust, Thibaut
In this paper we propose a new method called ND-Tree-based update (or shortly ND-Tree) for the dynamic non-dominance problem, i.e. the problem of online update of a Pareto archive composed of mutually non-dominated points. It uses a new ND-Tree data
Externí odkaz:
http://arxiv.org/abs/1603.04798
Autor:
Jaszkiewicz, Andrzej
Publikováno v:
In European Journal of Operational Research 16 December 2018 271(3):1001-1013