Research on problem formulations in resource-aware problems across scientific domains and applications - Publikacja - MOST Wiedzy

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Research on problem formulations in resource-aware problems across scientific domains and applications

Abstrakt

In this paper we conducted thorough analysis of research papers focused on resource aware problems and using one of the following formulations: integer linear programming (ILP), greedy algorithms (GrA), dynamic programming (DP), evolutionary algorithms (EA) and machine learning (ML). Basing on such general problem formulations we identified actual research tasks considered in many different domains. Furthermore, we analyzed each of these problems in terms of: resources being considered/subject to optimization, specific optimization algorithms, if applicable, and domains. Finally, based on over 1701 research papers, we assessed which particular resources like: time, cost, energy, human, computer, natural resources, data/information are used in which problems formulations, which formulations and resources are used and considered in which application/domains. It can serve as reference for algorithms in particular domains or, conversely, looking for unexplored approaches in specific contexts.

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Computer Science and Information Systems nr 22, strony 459 - 490,
ISSN: 1820-0214
Język:
angielski
Rok wydania:
2025
Opis bibliograficzny:
Czarnul P., Matuszek M.: Research on problem formulations in resource-aware problems across scientific domains and applications// Computer Science and Information Systems -Vol. 22,iss. 2 (2025), s.459-490
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.2298/csis240722022c
Źródła finansowania:
  • CERCIRAS COST Action CA19135
  • Działalność statutowa/subwencja
Weryfikacja:
Politechnika Gdańska

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