Metro lines of some mega cities usually suffer from extreme congestions in peak hours,
leading to serious operation risks. To relieve the extreme saturation for overcrowded metro …

Heterogeneous multi-factories in different regions bring a challenge to managers in
distributed production scheduling. This paper studies a distributed flow shop scheduling …

Hyper heuristics is a relatively new optimisation algorithm. Numerous studies have reported
that hyper heuristics are well applied in combinatorial optimisation problems. As a classic …

Increasing environmental concerns and legal regulations have led to the development of
sustainable technologies and systems in logistics, as in many fields. The adoption of multi …

Reproducibility of experiments is a complex task in stochastic methods such as evolutionary
algorithms or metaheuristics in general. Many works from the literature give general …

Loading and unloading operations are frequent and important in the production workshop.
Thus, this paper proposes a novel double-row layout problem, which involves the location …

Metaheuristic algorithms have become one of the preferred approaches for solving
optimization problems. Finding the best metaheuristic for a given problem is often difficult …

Unmanned Aerial Vehicle (UAV) cluster is increasingly used in the field of logistics.
However, the efficiency of drone delivery is greatly affected by the limited cruising range …

For machining workshops that use automated guided vehicles (AGVs) for material handling
and management, workstation layout and AGV path are coupling factors affecting the …

This paper presents an iterated local search algorithm based on ejection chains to solve the
space-free multi-row facility layout problem. The aim of this problem is to find a non …