| dc.creator | Mora-Gutiérrez,Roman Anselmo | |
| dc.creator | Ramírez-Rodríguez,Javier | |
| dc.creator | Rincón-García,Eric Alfredo | |
| dc.creator | Ponsich,Antonin | |
| dc.creator | Herrera-Alcántara,Oscar | |
| dc.creator | Lara-Velázquez,Pedro | |
| dc.date | 2013-12-01 | |
| dc.date.accessioned | 2023-09-25T14:04:23Z | |
| dc.date.available | 2023-09-25T14:04:23Z | |
| dc.identifier | http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-24332013000200006 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8812002 | |
| dc.description | Many real-world problems can be expressed as an instance of the constrained nonlinear optimization problem (CNOP). This problem has a set of constraints specifies the feasible solution space. In the last years several algorithms have been proposed and developed for tackling CNOP. In this paper, we present a cultural algorithm for constrained optimization, which is an adaptation of “Musical Composition Method” or MCM, which was proposed in [33] by Mora et al. We evaluated and analyzed the performance of MCM on five test cases benchmark of the CNOP. Numerical results were compared to evolutionary algorithm based on homomorphous mapping [23], Artificial Immune System [9] and anti-culture population algorithm [39]. The experimental results demonstrate that MCM significantly improves the global performances of the other tested metaheuristics on same of benchmark functions. | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Revista de Matemática Teoría y Aplicaciones v.20 n.2 2013 | |
| dc.subject | Constrained nonlinear optimization | |
| dc.subject | metaheuristics | |
| dc.subject | cultural algorithms | |
| dc.subject | system socio-cultural of creativity | |
| dc.subject | musical composition | |
| dc.title | An optimization algorithm inspired by musical composition in constrained optimization problems | |
| dc.type | info:eu-repo/semantics/article | |
