The Double-Pivot Network Simplex Method

Guardado en:
Bibliografiske detaljer
Udgivet i:ProQuest Dissertations and Theses (2024)
Hovedforfatter: Sahs, Jordan M.
Udgivet:
ProQuest Dissertations & Theses
Fag:
Online adgang:Citation/Abstract
Full Text - PDF
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

MARC

LEADER 00000nab a2200000uu 4500
001 3082058848
003 UK-CbPIL
020 |a 9798383224380 
035 |a 3082058848 
045 2 |b d20240101  |b d20241231 
084 |a 66569  |2 nlm 
100 1 |a Sahs, Jordan M. 
245 1 |a The Double-Pivot Network Simplex Method 
260 |b ProQuest Dissertations & Theses  |c 2024 
513 |a Dissertation/Thesis 
520 3 |a The network simplex method, a minimum-cost network flow algorithm, was first created in 1956 by George Dantzig to solve transportation problems. This thesis improves upon Dantzig's method by pivoting two arcs instead of one at each iteration. The proposed algorithm is called the double-pivot network simplex method. Both leaving arcs are determined by solving a two-variable linear program. Due to the structure of these two-variable problems, this thesis also presents an approach to quickly solve them. The network and double-pivot network simplex methods make use of a modified eXtended Threading Index technique to efficiently create cycles and maintain the spanning tree basis. Computational experiments showed that the double-pivot network simplex method solved minimum-cost network flow problems from the NETGEN benchmark library using approximately 50% fewer total iterations, on average, than the network simplex method. In regards to CPU time, the double-pivoting method outperformed the network simplex algorithm by about 12% in large NETGEN instances. The network simplex method solved smaller NETGEN instances faster than the double-pivot network simplex method by approximately 8%. When averaging all instances, the double-pivoting method proposed in this thesis is over 5% faster than the network simplex method. 
653 |a Operations research 
653 |a Applied mathematics 
653 |a Computer science 
773 0 |t ProQuest Dissertations and Theses  |g (2024) 
786 0 |d ProQuest  |t ProQuest Dissertations & Theses Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3082058848/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3082058848/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch