One of the key challenges in maritime operations at container terminals is the need to
improve or optimize berth operation schedules, thus allowing terminal operators to maximize …

In response to the modeling difficulties and low search efficiency of traditional weapon-target
assignment algorithms, this paper proposes a deep reinforcement learning-based intelligent …

In the realm of intelligent manufacturing, driven by the push towards smart factories and
Industry 4.0, optimizing technology selection and sequencing is paramount for intelligent …

For a class of complex engineering projects executed in limited construction sites, spatial
resources with three dimensions usually become a bottleneck that hampers their smooth …

To deal with the impact of uncertain material supply on the implementation of projects, we
investigate a problem of concurrently finding a robust baseline schedule and a material …

This paper presents a matheuristic solution algorithm to solve the well-known resource-
constrained project scheduling problem (RCPSP). The problem makes use of a restricted …

This paper present an instance transformation procedure to modify known instances of the
resource-constrained project scheduling problem to make them easier to solve by heuristic …

The incorporation of energy conservation measures into production efficiency is widely
recognized as a crucial aspect of contemporary industry. This study aims to develop …

As demand for computing power and low latency in intelligence applications grows, the
efficient management and coordination of resources in computing power networks become …

In this paper, we study the group shop and the mixed shop scheduling problems with single
and identical parallel machines at each workstation with the makespan criterion. We …