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 …

Machine learning enhancing metaheuristics: a systematic review

AL da Costa Oliveira, A Britto, R Gusmão - Soft Computing, 2023 - Springer
During the optimization process, a large number of data are generated through the search.
Machine learning techniques and algorithms can be used to handle the generated data to …

Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem

J García, E Lalla-Ruiz, S Voß, EL Droguett - International Journal of …, 2020 - Springer
Solving combinatorial optimization problems is of great interest in the areas of computer
science and operations research. Optimization algorithms and particularly metaheuristics …

A hybrid k-means cuckoo search algorithm applied to the counterfort retaining walls problem

J García, V Yepes, JV Martí - Mathematics, 2020 - mdpi.com
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 …

Black hole algorithm for sustainable design of counterfort retaining walls

V Yepes, JV Martí, J García - Sustainability, 2020 - mdpi.com
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 …

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 …

Q-learnheuristics: Towards data-driven balanced metaheuristics

B Crawford, R Soto, J Lemus-Romani… - Mathematics, 2021 - mdpi.com
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 …

The buttressed walls problem: An application of a hybrid clustering particle swarm optimization algorithm

J García, JV Martí, V Yepes - Mathematics, 2020 - mdpi.com
The design of reinforced earth retaining walls is a combinatorial optimization problem of
interest due to practical applications regarding the cost savings involved in the design and …

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 …

Embedded learning approaches in the whale optimizer to solve coverage combinatorial problems

M Becerra-Rozas, F Cisternas-Caneo, B Crawford… - Mathematics, 2022 - mdpi.com
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 …