In the real world, there are a number of optimization problems whose search space is
restricted to take binary values; however, there are many continuous metaheuristics with good …

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 techniques …

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

For years, extensive research has been in the binarization of continuous metaheuristics for
solving binary-domain combinatorial problems. This paper is a continuation of a previous …

In this paper, we solve the Set Covering Problem with a meta-optimization approach. One of
the most popular models among facility location models is the Set Covering Problem. The …

One of the central issues that must be resolved for a metaheuristic optimization process to
work well is the dilemma of the balance between exploration and exploitation. The …

Currently, industry is undergoing an exponential increase in binary-based combinatorial
problems. In this regard, metaheuristics have been a common trend in the field in order to …

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

When we face real problems using computational resources, we understand that it is common
to find combinatorial problems in binary domains. Moreover, we have to take into account …