dc.creator | Carrizosa Priego, Emilio José | es |
dc.creator | Drazic, Milan | es |
dc.creator | Drazic, Zorica | es |
dc.creator | Mladenović, Nenad | es |
dc.date.accessioned | 2021-04-23T10:18:36Z | |
dc.date.available | 2021-04-23T10:18:36Z | |
dc.date.issued | 2012-01-01 | |
dc.identifier.citation | Carrizosa Priego, E.J., Drazic, M., Drazic, Z. y Mladenović, N. (2012). Gaussian variable neighborhood search for continuous optimization. Computers & Operations Research, 39 (9), 2206-2213. | |
dc.identifier.issn | 0305-0548 | es |
dc.identifier.issn | 1873-765X | es |
dc.identifier.uri | https://hdl.handle.net/11441/107639 | |
dc.description.abstract | Variable Neighborhood Search (VNS) has shown to be a powerful tool for solving both discrete and box-constrained continuous optimization problems. In this note we extend the methodology by allowing also to address unconstrained continuous optimization problems.
Instead of perturbing the incumbent solution by randomly generating a trial point in a ball of a given metric, we propose to perturb the incumbent solution by adding some noise, following a Gaussian distribution. This way of generating new trial points allows one to give, in a simple and intuitive way, preference to some directions in the search space, or, contrarily, to treat uniformly all directions. Computational results show some advantages of this new approach. | es |
dc.format | application/pdf | es |
dc.format.extent | 7 p. | es |
dc.language.iso | eng | es |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | es |
dc.relation.ispartof | Computers & Operations Research, 39 (9), 2206-2213. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Global optimization | es |
dc.subject | Nonlinear programming | es |
dc.subject | Metaheuristics | es |
dc.subject | Variable neighborhood search | es |
dc.subject | Gaussian distribution | es |
dc.title | Gaussian variable neighborhood search for continuous optimization | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.publisherversion | https://doi.org/10.1016/j.cor.2011.11.003 | es |
dc.identifier.doi | 10.1016/j.cor.2011.11.003 | es |
dc.contributor.group | Universidad de Sevilla. FQM329: Optimización | es |
dc.journaltitle | Computers & Operations Research | es |
dc.publication.volumen | 39 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | 2206 | es |
dc.publication.endPage | 2213 | es |