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 …
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 …
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 …
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 …
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 …
problems. During the last 20 years, they have largely been used to solve different problems …
Putting continuous metaheuristics to work in binary search spaces
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 …
restricted to take binary values; however, there are many continuous metaheuristics with …
A clustering algorithm applied to the binarization of swarm intelligence continuous metaheuristics
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 …
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 …
problems are either continuous or combinatorial depending on the nature of the parameters …
Chaotic binarization schemes for solving combinatorial optimization problems using continuous metaheuristics
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 …
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
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 …
reduce execution times, improve the results, and thus be able to address broader instances …