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| LEADER |
00000cam a2200000Ka 4500 |
| 001 |
in00002573921 |
| 005 |
20151201120049.0 |
| 006 |
m f d |
| 007 |
cr unu|||||||| |
| 008 |
100423s2010 txu sbm 000 0 eng d |
| 035 |
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|a (OCoLC)ocn608745698
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| 035 |
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|a (OCoLC)608745698
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| 035 |
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|a (TxCM)http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-758
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| 040 |
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|a TXA
|c TXA
|d UtOrBLW
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| 049 |
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|a TXAM
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| 099 |
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|a 2009
|a Thesis
|a 1969.1/ETD-TAMU-2009-05-758
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| 100 |
1 |
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|a Stiverson, Paul W.
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| 245 |
1 |
2 |
|a A study of heuristic approaches for runway scheduling for the Dallas-Fort Worth Airport /
|c by Paul William Stiverson.
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| 264 |
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1 |
|a [College Station, Tex.] :
|b [Texas A&M University],
|c [2010]
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
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|a "Major Subject: Mechanical Engineering"
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| 500 |
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|a Title from author supplied metadata (automated record created 2010-03-12 12:08:51).
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| 502 |
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|b Master of Science
|c Texas A&M University
|d 2009
|o http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-758
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| 504 |
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|a Includes bibliographical references.
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| 516 |
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|a Text (Thesis)
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| 520 |
3 |
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|a Recent work in air transit efficiency has increased en-route efficiency to a point that airport efficiency is the bottleneck. With the expected expansion of air transit it will become important to get the most out of airport capacity. Departure scheduling is an area where efficiency stands to be improved, but due to the complicated nature of the problem an optimal solution is not always forthcoming. A heuristic approach can be used to find a sub-optimal take-off order in a significantly faster time than the optimal solution can be found using known methods. The aim of this research is to explore such heuristics and catalog their solution characteristics. A greedy approach as well as a k-interchange approach were developed to find improved takeoff sequences. When possible, the optimal solution was found to benchmark the performance of the heuristics, in general the heuristic solutions were within 10-15% of the optimal solution. The heuristic solutions showed improvements of up to 15% over the first-in first-out order with a running time around 4 ms.
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| 500 |
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|a Electronic resource.
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| 650 |
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4 |
|a Major mechanical engineering.
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| 653 |
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|a heuristics
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| 653 |
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|a Departure Scheduling
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| 700 |
1 |
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|a Rathinam, Sivakumar,
|e thesis advisor.
|
| 856 |
4 |
0 |
|u http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-758
|z Link to OAK Trust copy
|t 0
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| 994 |
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|a C0
|b TXA
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| 948 |
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|a cataloged
|b h
|c 2010/4/23
|d c
|e jlanham
|f 1:15:24 pm
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| 999 |
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|a MARS
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| 999 |
f |
f |
|s 81224463-326e-389c-9a28-0acfb6b2f330
|i 752b1c9f-5391-366b-b1ed-6cc5c2c45dcf
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e 2009 Thesis 1969.1/ETD-TAMU-2009-05-758
|h Other scheme
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| 998 |
f |
f |
|a 2009 Thesis 1969.1/ETD-TAMU-2009-05-758
|t 0
|l Available Online
|