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We consider a production planning problem under uncertainty in which companies have to make product allocation decisions such that the risk of failing regulatory inspections of sites - and consequently losing revenue - is minimized. In the proposed decision model the regulatory authority is an adversary. The outcome of an inspection is a Bernoulli-distributed random variable whose parameter is a function...
In this paper we consider the problem of on-line stochastic ride-sharing and taxi-sharing with time windows. We study a scenario in which people needing a taxi, or a ride, assign their source and destination points plus other restrictions (such as earlier time to departure and maximum time to reach a destination), at the same time, there are taxis or drivers interested in providing a ride (also with...
A very challenging problem in the genetics domain is to infer haplotypes from genotypes. This process is expected to identify genes affecting health, disease and response to drugs. One of the approaches to haplotype inference aims to minimise the number of different haplotypes used, and is known as haplotype inference by pure parsimony (HIPP). The HIPP problem is computationally difficult, being NP-hard...
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