A wide range of problems arising in practical applications can be formulated as Mixed-
Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint …

This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …

To overcome devices' limitations in performing computation-intense applications, mobile
edge computing (MEC) enables users to offload tasks to proximal MEC servers for faster …

Medical data exchange between diverse e-health entities can lead to a better healthcare
quality, improving the response time in emergency conditions, and a more accurate control …

A dense satellite-terrestrial integrated mobile-edge computing network (SATIMECN)
architecture is developed to meet the computing demands for next generation networks. We …

As a promising solution to blockchain scalability, sharding divides blockchain nodes into
small groups called shards, splitting the workload. Existing works for sharding, however, are …

Mobile Edge Computing (MEC) offers a way to shorten the cloud servicing delay by building
the small-scale cloud infrastructures at the network edge, which are in close proximity to the …

Recently, training with adversarial examples, which are generated by adding a small but
worst-case perturbation on input examples, has improved the generalization performance of …

Mobile edge computing (MEC) has risen as a promising paradigm to provide high quality of
experience via relocating the cloud server in close proximity to smart mobile devices …

In this paper, we present recent developments in the global optimization software BARON to
address problems with integer variables. A primary development was the addition of mixed …