The TV advertisements scheduling problem
A TV channel has a single advertisement break of duration h and a convex continuous function f : [ 0 , h ] → R + representing the TV rating points within the advertisement break. Given n TV advertisements of different durations p j that sum up to h , and willingness to pay coefficients w j , the obj...
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| Vydané v: | Optimization letters Ročník 13; číslo 1; s. 81 - 94 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Berlin/Heidelberg
Springer Berlin Heidelberg
08.02.2019
|
| Predmet: | |
| ISSN: | 1862-4472, 1862-4480 |
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| Abstract | A TV channel has a single advertisement break of duration
h
and a convex continuous function
f
:
[
0
,
h
]
→
R
+
representing the TV rating points within the advertisement break. Given
n
TV advertisements of different durations
p
j
that sum up to
h
, and willingness to pay coefficients
w
j
, the objective is to schedule them on the TV break in order to maximize the total revenue of the TV channel
∑
j
w
j
∫
c
j
-
p
j
c
j
f
(
t
)
d
t
,
where
[
c
j
-
p
j
,
c
j
)
is the broadcast time interval of TV advertisement
j
. We show that this problem is NP-hard and propose a fully polynomial time approximation scheme, using a special dominance property of an optimal schedule and the technique of
K
-approximation sets and functions introduced by Halman et al. (Math Oper Res 34:674–685,
2009
). |
|---|---|
| AbstractList | A TV channel has a single advertisement break of duration
h
and a convex continuous function
f
:
[
0
,
h
]
→
R
+
representing the TV rating points within the advertisement break. Given
n
TV advertisements of different durations
p
j
that sum up to
h
, and willingness to pay coefficients
w
j
, the objective is to schedule them on the TV break in order to maximize the total revenue of the TV channel
∑
j
w
j
∫
c
j
-
p
j
c
j
f
(
t
)
d
t
,
where
[
c
j
-
p
j
,
c
j
)
is the broadcast time interval of TV advertisement
j
. We show that this problem is NP-hard and propose a fully polynomial time approximation scheme, using a special dominance property of an optimal schedule and the technique of
K
-approximation sets and functions introduced by Halman et al. (Math Oper Res 34:674–685,
2009
). |
| Author | Díaz-Núñez, Fabián Vásquez, Óscar C. Halman, Nir |
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| Cites_doi | 10.1080/00207543.2014.951095 10.1287/opre.1040.0119 10.1137/130925153 10.1016/j.ejor.2017.03.001 10.1016/j.ejor.2005.09.027 10.1016/j.tcs.2016.06.015 10.1287/opre.1110.1031 10.1080/00207543.2013.778431 10.1287/opre.1030.0083 10.1016/j.orl.2014.05.009 10.1007/s11590-014-0758-2 10.1137/130911317 10.1287/inte.32.1.47.19 10.1504/IJOR.2006.009303 10.1137/13094774X 10.1145/2629652 10.1007/s10951-015-0466-5 10.1504/IJRM.2011.040304 10.1137/110844210 10.1287/moor.1090.0391 10.1007/s00530-008-0117-1 10.1007/978-3-662-43948-7_52 10.1007/978-3-642-39206-1_63 10.1016/S0096-3003(02)00853-6 10.1007/978-3-642-22935-0_12 |
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| Keywords | Fully polynomial time approximation scheme approximation sets and functions TV rating points Scheduling Dynamic programming |
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| PublicationTitle | Optimization letters |
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| References | Halman, Nannicini, Orlin (CR15) 2015; 25 Halman, Klabjan, Mostagir, Orlin, Simchi-Levi (CR14) 2009; 34 Höhn, Jacobs (CR17) 2015; 11 Halman, Orlin, Simchi-Levi (CR16) 2012; 60 CR18 Zhang (CR27) 2006; 1 Mihiotis, Tsakiris (CR22) 2004; 148 Pereira, Vásquez (CR23) 2017; 261 Bollapragada, Bussieck, Mallik (CR4) 2004; 52 Bansal, Pruhs (CR2) 2014; 43 Epstein, Levin, Marchetti-Spaccamela, Megow, Mestre, Skutella, Stougie (CR8) 2012; 41 Bansal, Dürr, Thang, Vásquez (CR1) 2017; 20 Vásquez (CR24) 2014; 42 Velusamy, Gopal, Bhatnagar, Varadarajan (CR26) 2008; 14 Halman (CR12) 2016; 645 Halman, Klabjan, Li, Orlin, Simchi-Levi (CR13) 2014; 28 Benoist, Bourreau, Rottembourg (CR3) 2007; 176 Vásquez (CR25) 2015; 9 CR7 Mao, Shi, Wanitwattanakosol, Watanabe (CR19) 2011; 5 Garey, Johnson (CR10) 1979 Bollapragada, Cheng, Phillips, Garbiras, Scholes, Gibbs, Humphreville (CR5) 2002; 32 CR21 García-Villoria, Salhi (CR9) 2014 CR20 Bollapragada, Garbiras (CR6) 2004; 52 Ghassemi, Tari, Alaei (CR11) 2013; 51 ÓC Vásquez (1251_CR24) 2014; 42 A García-Villoria (1251_CR9) 2014 1251_CR7 N Halman (1251_CR12) 2016; 645 1251_CR21 J Pereira (1251_CR23) 2017; 261 T Benoist (1251_CR3) 2007; 176 S Bollapragada (1251_CR4) 2004; 52 MR Garey (1251_CR10) 1979 A Mihiotis (1251_CR22) 2004; 148 N Halman (1251_CR14) 2009; 34 1251_CR20 S Velusamy (1251_CR26) 2008; 14 N Halman (1251_CR13) 2014; 28 L Epstein (1251_CR8) 2012; 41 W Höhn (1251_CR17) 2015; 11 X Zhang (1251_CR27) 2006; 1 N Bansal (1251_CR1) 2017; 20 N Halman (1251_CR16) 2012; 60 N Bansal (1251_CR2) 2014; 43 1251_CR18 S Bollapragada (1251_CR5) 2002; 32 S Bollapragada (1251_CR6) 2004; 52 N Halman (1251_CR15) 2015; 25 J Mao (1251_CR19) 2011; 5 OC Vásquez (1251_CR25) 2015; 9 F Ghassemi (1251_CR11) 2013; 51 |
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Algorithms doi: 10.1145/2629652 – volume: 261 start-page: 515 issue: 2 year: 2017 ident: 1251_CR23 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2017.03.001 – ident: 1251_CR21 – ident: 1251_CR18 doi: 10.1007/978-3-662-43948-7_52 – volume: 52 start-page: 679 issue: 5 year: 2004 ident: 1251_CR4 publication-title: Oper. Res. doi: 10.1287/opre.1040.0119 – ident: 1251_CR20 doi: 10.1007/978-3-642-39206-1_63 – volume: 148 start-page: 373 issue: 2 year: 2004 ident: 1251_CR22 publication-title: Appl. Math. Comput. doi: 10.1016/S0096-3003(02)00853-6 – year: 2014 ident: 1251_CR9 publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2014.951095 – volume: 42 start-page: 343 issue: 5 year: 2014 ident: 1251_CR24 publication-title: Oper. Res. Lett. doi: 10.1016/j.orl.2014.05.009 – volume: 20 start-page: 239 issue: 3 year: 2017 ident: 1251_CR1 publication-title: J. Sched. doi: 10.1007/s10951-015-0466-5 – volume-title: Computers and Intractability: A Guide to the Theory of NP-Completeness year: 1979 ident: 1251_CR10 – volume: 34 start-page: 674 year: 2009 ident: 1251_CR14 publication-title: Math. Oper. Res. doi: 10.1287/moor.1090.0391 – volume: 43 start-page: 1684 issue: 5 year: 2014 ident: 1251_CR2 publication-title: SIAM J. Comput. doi: 10.1137/130911317 – volume: 51 start-page: 4921 issue: 16 year: 2013 ident: 1251_CR11 publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2013.778431 – volume: 32 start-page: 47 issue: 1 year: 2002 ident: 1251_CR5 publication-title: Interfaces doi: 10.1287/inte.32.1.47.19 – volume: 28 start-page: 1725 year: 2014 ident: 1251_CR13 publication-title: SIAM J. Discrete Math. doi: 10.1137/130925153 – volume: 14 start-page: 73 issue: 2 year: 2008 ident: 1251_CR26 publication-title: Multimed. Syst. doi: 10.1007/s00530-008-0117-1 – volume: 41 start-page: 565 issue: 3 year: 2012 ident: 1251_CR8 publication-title: SIAM J. Comput. doi: 10.1137/110844210 – volume: 5 start-page: 109 issue: 2 year: 2011 ident: 1251_CR19 publication-title: Int. J. Revenue Manag. doi: 10.1504/IJRM.2011.040304 – volume: 645 start-page: 41 year: 2016 ident: 1251_CR12 publication-title: Theor. Comput. Sci. doi: 10.1016/j.tcs.2016.06.015 – volume: 60 start-page: 429 year: 2012 ident: 1251_CR16 publication-title: Oper. Res. doi: 10.1287/opre.1110.1031 – ident: 1251_CR7 doi: 10.1007/978-3-642-22935-0_12 |
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| Snippet | A TV channel has a single advertisement break of duration
h
and a convex continuous function
f
:
[
0
,
h
]
→
R
+
representing the TV rating points within the... |
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| Title | The TV advertisements scheduling problem |
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