Binarization of Metaheuristics: Is the Transfer Function Really Important?

J Lemus-Romani, B Crawford, F Cisternas-Caneo… - Biomimetics, 2023 - mdpi.com
In this work, an approach is proposed to solve binary combinatorial problems using
continuous metaheuristics. It focuses on the importance of binarization in the optimization …

Swarm-Inspired Computing to Solve Binary Optimization Problems: A Backward Q-Learning Binarization Scheme Selector

M Becerra-Rozas, J Lemus-Romani… - Mathematics, 2022 - mdpi.com
In recent years, continuous metaheuristics have been a trend in solving binary-based
combinatorial problems due to their good results. However, to use this type of …

Continuous metaheuristics for binary optimization problems: An updated systematic literature review

M Becerra-Rozas, J Lemus-Romani… - Mathematics, 2022 - mdpi.com
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 …

A novel learning-based binarization scheme selector for swarm algorithms solving combinatorial problems

J Lemus-Romani, M Becerra-Rozas, B Crawford… - Mathematics, 2021 - mdpi.com
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 …

Clustering-based binarization methods applied to the crow search algorithm for 0/1 combinatorial problems

S Valdivia, R Soto, B Crawford, N Caselli, F Paredes… - Mathematics, 2020 - mdpi.com
Metaheuristics are smart problem solvers devoted to tackling particularly large optimization
problems. During the last 20 years, they have largely been used to solve different problems …

Putting continuous metaheuristics to work in binary search spaces

B Crawford, R Soto, G Astorga, J García, C Castro… - …, 2017 - Wiley Online Library
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 …

A clustering algorithm applied to the binarization of swarm intelligence continuous metaheuristics

J García, B Crawford, R Soto, G Astorga - Swarm and evolutionary …, 2019 - Elsevier
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 …

Binary bat algorithm: On the efficiency of mapping functions when handling binary problems using continuous-variable-based metaheuristics

ZAEM Dahi, C Mezioud, A Draa - … Science and Its Applications: 5th IFIP TC …, 2015 - Springer
Global optimisation plays a critical role in today's scientific and industrial fields. Optimisation
problems are either continuous or combinatorial depending on the nature of the parameters …

Chaotic binarization schemes for solving combinatorial optimization problems using continuous metaheuristics

F Cisternas-Caneo, B Crawford, R Soto, G Giachetti… - Mathematics, 2024 - mdpi.com
Chaotic maps are sources of randomness formed by a set of rules and chaotic variables.
They have been incorporated into metaheuristics because they improve the balance of …

An analysis of a KNN perturbation operator: An application to the binarization of continuous metaheuristics

J García, G Astorga, V Yepes - Mathematics, 2021 - mdpi.com
The optimization methods and, in particular, metaheuristics must be constantly improved to
reduce execution times, improve the results, and thus be able to address broader instances …