For this dataset, each destination is a visited store and each D-trajectory is a sequence of visited stores in a visit to the shopping mall.
The objective is to find a sub-set of CTPs that reaches all SPPs and a sequence of visiting them all with minimized tour length of ME.
Given a set of SPPs P=p1,p2,…,p n and a set of candidate CTPs T=g t0,g t1,…,g2,…,g t m where g t0 denotes the BS which is the starting and the ending point for the ME tour, the objectives are to find a minimum set of CTPs from all the candidate CTPs in which all SPPs in the field are reached and to determine a sequence of visiting them only once with minimized total tour length.
Figure 4 illustrates a sequence of visited structures (black points) in a solution space.
A fat-tailed pollen dispersal curve with distance from a source population is predicted by the changing pollen carryover model of Morris et al. [38], proposing a systematic increase in the pollen carryover fraction during a sequence of flower visits by a pollinator.
Here, a D-trajectory is a sequence of destinations visited by a user, not necessarily the actual physical path/walk taken by the user when visiting the destinations.
To see this point, consider the attacker may know a sequence of places visited by some specific person P: e.g., by shadowing P for some time, the attacker may learn that P was in the shopping mall, then in the park, and then at the train station.
However, the IPRAVE prevalence data are quasi-longitudinal (although individual farms were visited only once, the survey design involved a stratified sequence of visits to different regions of the country) and some fluctuation in prevalence is apparent (Fig. 2b).
If the request from patient 3 is added to an existing sequence of visits for staff other than the one preferred (staff = 0), as specified in entry 7, the saving is lower still, as in Eq. (1 ).
