Stimulated by the growing demand for logistics services and the advances in information
technologies, research interest in the dynamic vehicle routing problem with random requests …

Due to the ubiquitous real-world applications of logistics and supply chain management
over the past two decades, dynamic pickup and delivery problems (DPDPs), as a subclass …

Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary
computation. In contrast to the traditional single-task evolutionary search, EMT conducts …

Influence maximization in social networks aims to find a small group of individuals, which
have maximal influence cascades. In this study, an optimization model based on a local …

Tchebycheff decomposition represents one of the most widely used decomposition
approaches that can convert a multiobjective optimization problem into a set of scalar …

This paper investigates a new automatic guided vehicle scheduling problem with pickup and
delivery from the goods handling process in a matrix manufacturing workshop with multi …

With the development of Electric Vehicle (EV) technology, the new generation of EVs
combines the advantages of both Wireless Charging Technology (WCT) and Plug-in …

The capacitated vehicle routing problem (CVRP) is investigated in this research. To tackle
this problem, four state-of-the-art algorithms are employed: an improved intelligent water …

Whereas automated guided vehicles (AGVs) have traditionally been used for material
handling, the utilisation of autonomous mobile robots (AMRs) is growing quickly owing to …

Today, transportation has become a vital service due to increased competition among
businesses. In this regard, customer service is one of the major challenges of logistics units …