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 …

In the intelligent manufacturing environment, modern industry is developing at a faster pace,
and there is an urgent need for reasonable production scheduling to ensure an organized …

Dynamic scheduling problems have been receiving increasing attention in recent years due
to their practical implications. To realize real-time and the intelligent decision-making of …

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

Serial lines with multi-type products, finite buffers, and stochastic machine breakdowns are
commonly seen in flexible production systems, where multiple small-size production batches …

Planning and scheduling approaches in real manufacturing environments entail the need to
cope with random attributes and variables to match the characteristics of real scheduling …

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

Simheuristics combine metaheuristics with simulation in order to solve the optimization
problems with stochastic elements. This paper introduces the concept of fuzzy simheuristics …

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 …

This paper addresses a parallel machine scheduling problem with non-anticipatory family
setup times and batching, considering the task's stochastic processing times and release …