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 …

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

Optimization algorithms and particularly metaheuristics are constantly improved with the
goal of reducing execution times, increasing the quality of solutions, and addressing larger …

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 …

Solving combinatorial optimization problems is of great interest in the areas of computer
science and operations research. Optimization algorithms and particularly metaheuristics …

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 counterfort retaining wall is one of the most frequent structures used in civil engineering.
In this structure, optimization of cost and CO2 emissions are important. The first is relevant in …

Integrating inventory with production–distribution operations has critical importance realized
by several companies' top management a long time before; however, challenging. The …

The optimization of the cost and CO 2 emissions in earth-retaining walls is of relevance,
since these structures are often used in civil engineering. The optimization of costs is …

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