During the past few years, research in applying machine learning (ML) to design efficient,
effective, and robust metaheuristics has become increasingly popular. Many of those …

Abstract The Orienteering Problem is a routing problem aiming at selecting a subset of a
given set of customers to be visited within a given time budget, so that a total revenue is …

Hybridizing metaheuristic algorithms involves synergistically combining different
optimization techniques to effectively address complex and challenging optimization …

The Probabilistic Orienteering Problem is an optimization problem where a set of customers,
each with an associated prize and probability of requiring a service, a time budget and travel …

The Probabilistic Orienteering Problem (POP) is an optimization problem arising in logistics.
A set of customers, each with a probability of requiring a service and a price to be collected …

Abstract Stochastic Optimization Problems take uncertainty into account. For this reason they
are in general more realistic than deterministic ones, meanwhile, more difficult to solve. The …