A Machine Learning Firefly Algorithm Applied to the Resource Allocation Problems

2Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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 complete techniques. Therefore, the design of binary algorithms based on swarm intelligence continuous metaheuristics is an area of interest in operations research. In this article, we use a general binarization mechanism based on the k-means technique. We apply k-means technique to the firefly algorithm to solve the multidimensional knapsack problem (MKP). Design experiments to prove the practicality of k-means technique in binarization.

Cite

CITATION STYLE

APA

Pinto, H., Peña, A., Maureira, C., Valenzuela, M., & Villavicencio, G. (2021). A Machine Learning Firefly Algorithm Applied to the Resource Allocation Problems. In Lecture Notes in Networks and Systems (Vol. 229, pp. 297–305). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-77445-5_27

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free