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 …

This paper provides an in-depth literature review of the Black Hole Algorithm (BHA) which is
considered as a recent metaheuristic. BHA has been proven to be very efficient in different …

The multidimensional knapsack problem (MKP) is one of the widely known integer
programming problems. The MKP has received significant attention from the operational …

Robust optimization is an emerging area in research that allows addressing different
optimization problems and specifically industrial optimization problems where there is a …

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 …

Early detection of Lobesia botrana is a primary issue for a proper control of this insect
considered as the major pest in grapevine. In this article, we propose a novel method for L …

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

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 …

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 …