Many combinatorial optimization problems (COPs) encountered in real-world logistics,
transportation, production, healthcare, financial, telecommunication, and computing …

In the context of simulation-based optimisation, this paper reviews recent work related to the
role of metaheuristics, matheuristics (combinations of exact optimisation methods with …

The key idea underlying iterated local search is to focus the search not on the full space of
all candidate solutions but on the solutions that are returned by some underlying algorithm …

Modern manufacturing systems are composed of several stages. We consider a
manufacturing environment in which different parts of a product are completed in a first stage …

Many decision-making processes in our society involve NP-hard optimization problems. The
largescale, dynamism, and uncertainty of these problems constrain the potential use of …

The uncapacitated facility location problem (UFLP) is a popular combinatorial optimization
problem with practical applications in different areas, from logistics to telecommunication …

Urban goods distribution is a crucial component for the well-being of an inner city. However,
the transportation of goods generates noise, air pollution, congestion and lower levels of …

The inventory routing problem (IRP) combines inventory management and delivery route‐
planning decisions. This work presents a simheuristic approach that integrates Monte Carlo …

The two-dimensional vehicle routing problem (2L-VRP) is a realistic extension of the
classical vehicle routing problem in which customers' demands are composed by sets of non …

Modern production systems require multiple manufacturing centers—usually distributed
among different locations—where the outcomes of each center need to be assembled to …