| Autor: |
Roman Anselmo Mora-Gutiérrez, Eric Alfredo Rincón-García, Javier Ramírez Rodríguez, Antonin Ponsich, Oscar Herrera-Alcántara, Pedro Lara Velázquez |
| Jazyk: |
English<br />Spanish; Castilian |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
Revista de Matemática: Teoría y Aplicaciones, Vol 20, Iss 2, Pp 183-202 (2013) |
| Druh dokumentu: |
article |
| ISSN: |
2215-3373 |
| DOI: |
10.15517/rmta.v20i2.11658 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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