- Tytuł:
- Algorithms solving the Internet shopping optimization problem with price discounts
- Autorzy:
-
Musial, J.
Pecero, J. E.
Lopez-Loces, M. C.
Fraire-Huacuja, H. J.
Bouvry, P.
Blazewicz, J. - Powiązania:
- https://bibliotekanauki.pl/articles/200209.pdf
- Data publikacji:
- 2016
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
e-commerce
Internet shopping
applications of operations research
approximations
algorithms
heuristics
combinatorial optimization
zakupy przez Internet
wnioski z badań operacyjnych
aproksymacje
algorytmy
heurystyki
optymalizacja kombinatoryczna - Opis:
- The Internet shopping optimization problem arises when a customer aims to purchase a list of goods from a set of web-stores with a minimum total cost. This problem is NP-hard in the strong sense. We are interested in solving the Internet shopping optimization problem with additional delivery costs associated to the web-stores where the goods are bought. It is of interest to extend the model including price discounts of goods. The aim of this paper is to present a set of optimization algorithms to solve the problem. Our purpose is to find a compromise solution between computational time and results close to the optimum value. The performance of the set of algorithms is evaluated through simulations using real world data collected from 32 web-stores. The quality of the results provided by the set of algorithms is compared to the optimal solutions for small-size instances of the problem. The optimization algorithms are also evaluated regarding scalability when the size of the instances increases. The set of results revealed that the algorithms are able to compute good quality solutions close to the optimum in a reasonable time with very good scalability demonstrating their practicability.
- Źródło:
-
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 3; 505-516
0239-7528 - Pojawia się w:
- Bulletin of the Polish Academy of Sciences. Technical Sciences
- Dostawca treści:
- Biblioteka Nauki