There is a line of research extending over the last 20+ years applying graph-based methods
for assessing and improving the security of operational computer networks, maintaining …

With the rapid rise of the Internet, China's e-commerce has also flourished. The development
of e-commerce has led to an increase in the volume of logistics and distribution. The further …

Given a delimited surveillance area, represented in either 2D or 3D, and a set of feasible
camera locations and orientations, the optimal camera placement problem (OCP) is that of …

The binarization of Swarm intelligence continuous metaheuristics is an area of great interest
in operations research. This interest is mainly due to the application of binarized …

The integration of machine learning techniques and metaheuristic algorithms is an area of
interest due to the great potential for applications. In particular, using these hybrid …

The set covering problem (SCP) is a fundamental NP-hard problem in computer science and
has a broad range of important real-world applications. In practice, SCP instances …

The progress of metaheuristic techniques, big data, and the Internet of things generates
opportunities to performance improvements in complex industrial systems. This article …

The set covering problem seeks for minimum cost family of subsets from n given subsets,
which together covers the complete set. In this article, we present multi dynamic binary black …

The unicost version of well-known set covering problem (SCP) is central to a wide variety of
practical applications for which finding an optimal solution quickly is crucial. In this paper, we …

Attribute reduction is a fundamental problem in rough set theory and serves as an effective
data reduction technique. The minimal test cost attribute reduction problem poses a more …