A survey on algorithmic approaches for solving tourist trip design problems
D Gavalas, C Konstantopoulos, K Mastakas… - Journal of …, 2014 - Springer
The tourist trip design problem (TTDP) refers to a route-planning problem for tourists
interested in visiting multiple points of interest (POIs). TTDP solvers derive daily tourist tours …
interested in visiting multiple points of interest (POIs). TTDP solvers derive daily tourist tours …
Adaptive routing and recharging policies for electric vehicles
TM Sweda, IS Dolinskaya… - Transportation …, 2017 - pubsonline.informs.org
Planning a trip with an electric vehicle requires consideration of both battery dynamics and
the availability of charging infrastructure. Recharging costs for an electric vehicle, which …
the availability of charging infrastructure. Recharging costs for an electric vehicle, which …
Adaptive seeding in social networks
The algorithmic challenge of maximizing information diffusion through word-of-mouth
processes in social networks has been heavily studied in the past decade. While there has …
processes in social networks has been heavily studied in the past decade. While there has …
The price of information in combinatorial optimization
S Singla - Proceedings of the twenty-ninth annual ACM-SIAM …, 2018 - SIAM
Consider a network design application where we wish to lay down a minimum-cost
spanning tree in a given graph; however, we only have stochastic information about the …
spanning tree in a given graph; however, we only have stochastic information about the …
Ignorance is almost bliss: Near-optimal stochastic matching with few queries
The stochastic matching problem deals with finding a maximum matching in a graph whose
edges are unknown but can be accessed via queries. This is a special case of stochastic k …
edges are unknown but can be accessed via queries. This is a special case of stochastic k …
Adaptivity gaps for stochastic probing: Submodular and XOS functions
Suppose we are given a submodular function f over a set of elements, and we want to
maximize its value subject to certain constraints. Good approximation algorithms are known …
maximize its value subject to certain constraints. Good approximation algorithms are known …
Algorithms and adaptivity gaps for stochastic probing
A stochastic probing problem consists of a set of elements whose values are independent
random variables. The algorithm knows the distributions of these variables, but not the …
random variables. The algorithm knows the distributions of these variables, but not the …
Efficient approximation schemes for stochastic probing and prophet problems
D Segev, S Singla - Proceedings of the 22nd ACM Conference on …, 2021 - dl.acm.org
Our main contribution is a general framework to design efficient polynomial time
approximation schemes (EPTAS) for fundamental stochastic combinatorial optimization …
approximation schemes (EPTAS) for fundamental stochastic combinatorial optimization …
Budgeted prize-collecting traveling salesman and minimum spanning tree problems
We consider constrained versions of the prize-collecting traveling salesman and the prize-
collecting minimum spanning tree problems. The goal is to maximize the number of vertices …
collecting minimum spanning tree problems. The goal is to maximize the number of vertices …
Tour recommendation for groups
Consider a group of people who are visiting a major touristic city, such as NY, Paris, or
Rome. It is reasonable to assume that each member of the group has his or her own …
Rome. It is reasonable to assume that each member of the group has his or her own …