Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …

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 …

Mobility solutions like ride-sharing and carpooling are becoming popular in many urban and
metropolitan areas around the globe. These solutions, however, create many operational …

In recent years, there have been an increasing number of extreme weather events that have
had major impacts on the built environment and particularly on people living in urban areas …

Optimization problems arising in real-life transportation and logistics need to consider
uncertainty conditions (eg, stochastic travel times, etc.). Simulation is employed in the …

From smart cities to factories and business, many decision-making processes in our society
involve NP-hard optimization problems. In a real environment, these problems are frequently …

An organization's strategic objectives are accomplished through portfolios. However, the
materialization of portfolio risks may affect a portfolio's sustainable success and the …

Many real-life systems in production and transportation logistics are complex, large-scale,
and stochastic in nature. As a consequence, simheuristic approaches–which integrate …

Optimization algorithms and particularly metaheuristics are constantly improved with the
goal of reducing execution times, increasing the quality of solutions, and addressing larger …

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 …