Embedded learning approaches in the whale optimizer to solve coverage combinatorial problems
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 …
common to find combinatorial problems in binary domains. Moreover, we have to take into …
A Percentile Firefly Algorithm an Application to the Set Covering Problem
L Jorquera, P Valenzuela, L Causa, P Moraga… - Artificial Intelligence in …, 2021 - Springer
The application of continuous metaheuristic algorithms to combinatorial problems is an area
of interest at the engineering level. This interest is related to the fact that many of the …
of interest at the engineering level. This interest is related to the fact that many of the …
A Machine Learning Firefly Algorithm Applied to the Matrix Covering Problem
G Villavicencio, M Valenzuela, L Causa… - Artificial Intelligence in …, 2021 - Springer
At the business level, there are a large number of combinatorial problems. A subset of these
is NP-hard type. The study of algorithms that address this type of problem is of great interest …
is NP-hard type. The study of algorithms that address this type of problem is of great interest …
A Machine Learning Whale Algorithm Applied to the Matrix Covering Problem
M Valenzuela, P Moraga, L Causa, H Pinto… - Data Science and …, 2021 - Springer
In the industry, the need for optimization naturally arises, with which there is a large number
of optimization problems, particularly combinatorial and NP-hard type. Therefore, there is an …
of optimization problems, particularly combinatorial and NP-hard type. Therefore, there is an …
A Machine Learning Firefly Algorithm Applied to the Resource Allocation Problems
H Pinto, A Peña, C Maureira, M Valenzuela… - Artificial Intelligence in …, 2021 - Springer
In the fields of engineering and science, there are many combinatorial optimization
problems. Many of these problems are NP-hard problems, which are difficult to solve with …
problems. Many of these problems are NP-hard problems, which are difficult to solve with …
A Binary Firefly Algorithm Applied to Knapsack Problem
H Pinto, M Valenzuela, C Maureira, L Lopez… - Artificial Intelligence in …, 2021 - Springer
The NP-hard problems are of interest in operations research and particularly the
combinatorial problems. Therefore, the design of efficient algorithms that address these …
combinatorial problems. Therefore, the design of efficient algorithms that address these …
Performance Analysis of Short-Span Simply Supported Bridges for Heavy-Haul Railways with A Novel Prefabricated Strengthening Structure
K **e, B Liu, W Dai, S Chen, X Wang - Buildings, 2023 - mdpi.com
A novel prefabricated strengthening structure (NPSS) is proposed to improve the vertical
stiffness and load-bearing capacity of existing short-span bridges for heavier axle-load trains …
stiffness and load-bearing capacity of existing short-span bridges for heavier axle-load trains …
A Machine Learning Whale Algorithm Applied to the Resource Allocation Problems
Combinatorial optimization problems appear frequently in the areas of engineering and
science. A significant number of these problems are of the NP-hard type, therefore when the …
science. A significant number of these problems are of the NP-hard type, therefore when the …
A Percentile Whale Algorithm an Application to the Set Covering Problem
L Jorquera, P Valenzuela, L Causa, P Moraga… - Proceedings of the …, 2021 - Springer
The design of robust continuous metaheuristic techniques to apply them to combinatorial
problems is a line of research with great applied potential. There are two major challenges …
problems is a line of research with great applied potential. There are two major challenges …
A Binary Whale Algorithm Applied to Knapsack Problem
Combinatorial and particularly combinatorial NP-hard problems are of importance and
interest in operations research. Therefore, the design of efficient algorithms that address …
interest in operations research. Therefore, the design of efficient algorithms that address …