2013
DOI: 10.1016/j.ejor.2012.09.025
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Virtual queuing at airport security lanes

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Cited by 56 publications
(23 citation statements)
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“…There is no dispute over the point that there are reported applications in the literature, for example see Zhou et al (2011). However the scale of such problems pales in comparison to the size of problems that interior point methods can address, to the extent that Michalewicz (2012) million decision variables, constraints and objectives, while their convergence rate remains almost unaffected (Gondzio 2012), while to this day evolutionary algorithms mostly deal with problems with 2 or 3 objectives with relatively few addressing more, but no more than approximately 10, and with fewer than 100 decision variables (Kim et al 2012, Chiong and Kirley 2012, de Lange et al 2012, Wei et al 2012). Moreover there is not a single study available 1 that establishes a strong positive correlation between superior algorithm performance on test problems and real-world (and real-scale) problems.…”
Section: Discussionmentioning
confidence: 99%
“…There is no dispute over the point that there are reported applications in the literature, for example see Zhou et al (2011). However the scale of such problems pales in comparison to the size of problems that interior point methods can address, to the extent that Michalewicz (2012) million decision variables, constraints and objectives, while their convergence rate remains almost unaffected (Gondzio 2012), while to this day evolutionary algorithms mostly deal with problems with 2 or 3 objectives with relatively few addressing more, but no more than approximately 10, and with fewer than 100 decision variables (Kim et al 2012, Chiong and Kirley 2012, de Lange et al 2012, Wei et al 2012). Moreover there is not a single study available 1 that establishes a strong positive correlation between superior algorithm performance on test problems and real-world (and real-scale) problems.…”
Section: Discussionmentioning
confidence: 99%
“…In complex environments such as an airport [7], the flow of passengers depends on a large number of variables: staff performance, passenger behaviour, hand luggage contents, sensitivity of metal detection systems, among others. Traditional approaches based on discrete event systems [8], [9] or queueing theory [10]- [12] model airport activity as a function of several such variables. However, these methods are difficult to tune because they are highly dependent on variables that are unobservable or modeled with (unrealistic) stationary distributions (e.g., arrival and service rates).…”
Section: Previous Workmentioning
confidence: 99%
“…The public wait is to a degree privatized and ownership claims from those other than queue members begin to take on legal and social meaning. Thus, priority lines or lanes (Alexander et al, 2012), virtual queuing (de Lange et al, 2013) and information incentives distributed to waiters by those outside the wait, all give time thinning benefits to those who pay these third parties for the privilege of advancing either more rapidly or with greater comfort than others.…”
Section: The Other Structural-legal Lensmentioning
confidence: 99%