dc.contributor.author | Ganeshan, Vithya | eng |
dc.date.accessioned | 2015-05-20T09:36:29Z | |
dc.date.available | 2015-05-20T09:36:29Z | |
dc.date.issued | 2015-03-03 | eng |
dc.date.submitted | 2015-03-03 | eng |
dc.identifier.uri | https://hdl.handle.net/1956/9903 | |
dc.description.abstract | In transportation networks, such as pipeline networks for transporting natural gas, it is often impractical to send across amounts of flow below a certain threshold. Such lower threshold is referred as the minimum-lot size. The network flow is semi-continuous when a network has minimum-lot sizes. In other terms, the flow can be either zero or within the limits of minimum-lot and maximum capacity of the network. When a network includes minimum-lot constraints, the problem of finding maximum-flow becomes complex and exact methods tend to be too time consuming. Since it is not generally required that the solution methods provide the optimal solution, this master thesis proposes a fast (inexact) method to find near-optimum solution.Also, the proposed fast method is experimentally validated and compared with the other relevant approaches available in the literature, and the results are analyzed in detail. | en_US |
dc.format.extent | 681128 bytes | eng |
dc.format.mimetype | application/pdf | eng |
dc.language.iso | eng | eng |
dc.publisher | The University of Bergen | en_US |
dc.subject | Gasstransport | nob |
dc.subject | Grafalgoritmer | nob |
dc.subject | Kombinatorisk optimering | nob |
dc.title | Fast Method for Maximum-Flow Problem with Minimum-Lot Sizes | en_US |
dc.type | Master thesis | |
dc.rights.holder | Copyright the author. All rights reserved | en_US |
dc.description.degree | Master i Informatikk | en_US |
dc.description.localcode | MAMN-INF | |
dc.description.localcode | INF399 | |
dc.subject.realfagstermer | http://data.ub.uio.no/realfagstermer/c007213 | |
dc.subject.realfagstermer | http://data.ub.uio.no/realfagstermer/c012567 | |
dc.subject.realfagstermer | http://data.ub.uio.no/realfagstermer/c004774 | |
dc.subject.nus | 754199 | eng |
fs.subjectcode | INF399 | |