Polynomial Time Instances for the IKHO Problem. (8th April 2012)
- Record Type:
- Journal Article
- Title:
- Polynomial Time Instances for the IKHO Problem. (8th April 2012)
- Main Title:
- Polynomial Time Instances for the IKHO Problem
- Authors:
- Rizzi, Romeo
Nardin, Luca - Other Names:
- Chiou C. W. Academic Editor.
Kunii T. L. Academic Editor. - Abstract:
- Abstract : The Interactive Knapsacks Heuristic Optimization (IKHO) problem is a particular knapsacks model in which, given an array of knapsacks, every insertion in a knapsack affects also the other knapsacks, in terms of weight and profit. The IKHO model was introduced by Isto Aho to model instances of the load clipping problem. The IKHO problem is known to be APX-hard and, motivated by this negative fact, Aho exhibited a few classes of polynomial instances for the IKHO problem. These instances were obtained by limiting the ranges of two structural parameters, c and u, which describe the extent to which an insertion in a knapsack in uences the nearby knapsacks. We identify a new and broad class of instances allowing for a polynomial time algorithm. More precisely, we show that the restriction of IKHO to instances where( c + 2 u ) / c is bounded by a constant can be solved in polynomial time, using dynamic programming.
- Is Part Of:
- ISRN electronics. Volume 2012(2012)
- Journal:
- ISRN electronics
- Issue:
- Volume 2012(2012)
- Issue Display:
- Volume 2012, Issue 2012 (2012)
- Year:
- 2012
- Volume:
- 2012
- Issue:
- 2012
- Issue Sort Value:
- 2012-2012-2012-0000
- Page Start:
- Page End:
- Publication Date:
- 2012-04-08
- Subjects:
- Electronics -- Periodicals
Electronics
Electronic journals
Periodicals
621.381 - Journal URLs:
- https://www.hindawi.com/journals/isrn/contents/isrn.electronics/ ↗
- DOI:
- 10.5402/2012/859820 ↗
- Languages:
- English
- ISSNs:
- 2090-8679
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10717.xml