Creator:

Błażewicz, Jacek ; Kovalyov, Y. Mikhail ; Musiał, Jędrzej ; Urbański, Andrzej P. ; Wojciechowski, Adam

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Title:

Internet shopping optimization problem

Group publication title:

AMCS, Volume 20 (2010)

Subject and Keywords:

algorithms ; computational complexity ; combinatorial algorithms ; optimization ; Internet shopping

Abstract:

A high number of Internet shops makes it difficult for a customer to review manually all the available offers and select optimal outlets for shopping. A partial solution to the problem is brought by price comparators which produce price rankings from collected offers. However, their possibilities are limited to a comparison of offers for a single product requested by the customer. The issue we investigate in this paper is a multiple-item multiple-shop optimization problem, in which total expenses of a customer to buy a given set of items should be minimized over all available offers. In this paper, the Internet Shopping Optimization Problem (ISOP) is defined in a formal way and a proof of its strong NP-hardness is provided. We also describe polynomial time algorithms for special cases of the problem.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2010

Resource Type:

artykuł

DOI:

10.2478/v10006-010-0028-0

Pages:

385-390

Source:

AMCS, Volume 20, Number 2 (2010) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego