Learning-based optimization (LBO) algorithms have exhibited considerable advantages in
solving routing problems. In this study, 831 papers published over two decades (2003 …

The sustainable management of medical waste is essential for environmental protection and
public health safety, contributing to urban development and societal well-being. This study …

This paper proposes a new Bayesian inference-based learning automaton with a multi-
objective brainstorm algorithm to find the best solutions for combinatorial optimization …

The proliferation of smart personal devices and mobile internet access has fueled numerous
advancements in on-demand transportation services. These services are facilitated by …

Many larger grocery stores offer home delivery services. However, the delivery cost is
usually high and such services are rarely profitable. One way of reducing cost is by …

A challenge in same-day delivery operations is that delivery requests are typically not known
beforehand, but are instead revealed dynamically during the day. This uncertainty …

Develo** a more convenient and sustainable logistics delivery operation model has
become a consensus need for both academics and practitioners. However, the existing …

We explore a problem faced by agri-food e-commerce platforms in purchasing different,
perishable products and collecting them from multiple producers and delivering them to a …

We consider a problem where customers dynamically request next-day home service, eg,
repair or installments. Unlike attended home delivery, customers cannot select a time …

A recent stream of structured learning approaches has improved the practical state of the art
for a range of combinatorial optimization problems with complex objectives encountered in …