Background: Uncertainty conditions have been increasingly considered in optimization
problems arising in real-life transportation and logistics activities. Generally, the analysis of …

Municipal solid waste (MSW) management is known as one of the most crucial activities in
municipalities that requires large amounts of fixed/variable and investment costs. The …

The team orienteering problem (TOP) is an NP‐hard optimization problem with an
increasing number of potential applications in smart cities, humanitarian logistics, wildfire …

The multivehicle routing problem with stochastic demand (MVRPSD) is an important issue
both in theory and practice. However, solving the MVRPSD through traditional methods …

Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …

In the context of logistics and transportation, this paper discusses how simheuristics can be
extended by adding a fuzzy layer that allows us to deal with complex optimization problems …

Stochastic, as well as fuzzy uncertainty, can be found in most real‐world systems.
Considering both types of uncertainties simultaneously makes optimization problems …

This paper addresses a bi-objective problem in flexible job shop scheduling (FJSS) with
stochastic processing times. Following the Just-In-Time philosophy, the first objective is to …

The Capacitated Arc Routing Problem (CARP) is an NP-hard optimization problem that has
been investigated for decades. Heuristic search methods are commonly used to solve it …

Route planning studies are of great importance for quadrotors, which are widely used in
military and civil fields, to perform their duties autonomously and efficiently. In the study, a …