The ford fulkerson algorithm on a case study of the dissertation scheduling problem
Scheduling problem are often hard and time consuming to solve. It is considered as one of the most difficult problem. Therefore, the development of a network model for timetabling problem is necessary to solve the problem by determining the maximum flow in the network. The purpose of this study is t...
Saved in:
Main Author: | Raja Mohd. Nazir, Raja Nadiah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/33176/1/RajaNadiahBintiRajaMohdNazirMFS2013.pdf http://eprints.utm.my/id/eprint/33176/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:82497?queryType=vitalDismax&query=+The+ford+fulkerson+algorithm+on+a+case+study+of+the+dissertation+scheduling+problem&public=true |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimize the maximum flow of electricity capacity using Ford Fulkerson, Edmonds Karp and Goldberg Tarjan algorithm / Nik Nur Diyana Nik Mohd Huzaidi
by: Nik Mohd Huzaidi, Nik Nur Diyana
Published: (2024) -
Using micro genetic algorithm for solving scheduling problems
by: Tay, Cheng San
Published: (2005) -
A hybrid parallel genetic algorithm for solving job-shop scheduling problems
by: Gan, Teck Hui
Published: (2005) -
A modified giffler and thompson genetic algorithm on job shop scheduling problem
by: Lee, Hui Peng
Published: (2005) -
Solving the MASUM sport league scheduling problem using hybrid genetic algorithm and constraint-based reasoning
by: Abu Samah, Mazlan
Published: (2006)