This paper reviews the existing literature on the combination of metaheuristics with machine
learning methods and then introduces the concept of learnheuristics, a novel type of hybrid …

Randomized heuristics are widely used to solve large scale combinatorial optimization
problems. Among the plethora of randomized heuristics, this paper reviews those that …

The present study extends a multi-objective mathematical model in the context of industrial
hazardous waste management, which covers the integrated decisions of three levels with …

Abstract The introduction of Electric Vehicles (EVs) in modern fleets facilitates a shift towards
greener road transportation practices. However, the driving ranges of EVs are limited by the …

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

In this paper, we consider a vehicle routing problem in which a fleet of homogeneous
vehicles, initially located at a depot, has to satisfy customers' demands in a two‐echelon …

This paper discusses horizontal cooperation in road transportation and supports the
relevance of this praxis as a way of reducing delivery costs and greenhouse gas emissions …

In a global and competitive economy, efficient supply networks are essential for modern
enterprises. Horizontal cooperation (HC) concepts represent a promising strategy to …

Vehicle routing is a well-known optimization research topic with significant practical
importance. Among different approaches to solving vehicle routing, heuristics can produce a …

This paper describes a 'simheuristic'algorithm–one which combines simulation with
heuristics–for solving a stochastic variant of the well-known Inventory-Routing Problem. The …