Hybrid Metaheuristics for Stochastic Constraint Programming
| dc.contributor.author | Prestwich, S. D. | |
| dc.contributor.author | Tarim, S. A. | |
| dc.contributor.author | Rossi, R. | |
| dc.contributor.author | Hnich, B. | |
| dc.date.accessioned | 2023-06-16T12:47:55Z | |
| dc.date.available | 2023-06-16T12:47:55Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Stochastic Constraint Programming (SCP) is an extension of Constraint Programming for modelling and solving combinatorial problems involving uncertainty. This paper proposes a metaheuristic approach to SCP that can scale up to large problems better than state-of-the-art complete methods, and exploits standard filtering algorithms to handle hard constraints more efficiently. For problems with many scenarios it can be combined with scenario reduction and sampling methods. | en_US |
| dc.description.sponsorship | Science Foundation Ireland (SFI) [SFI/12/RC/2289]; University of Edinburgh CHSS Challenge Investment Fund; Scientific and Technological Research Council of Turkey (TUBITAK) [MAG-110 K500] | en_US |
| dc.description.sponsorship | This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289. R. Rossi is supported by the University of Edinburgh CHSS Challenge Investment Fund. S. A. Tarim is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant No. MAG-110 K500. | en_US |
| dc.identifier.doi | 10.1007/s10601-014-9170-x | |
| dc.identifier.issn | 1383-7133 | |
| dc.identifier.issn | 1572-9354 | |
| dc.identifier.scopus | 2-s2.0-85027950224 | |
| dc.identifier.uri | https://doi.org/10.1007/s10601-014-9170-x | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/910 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | Constraınts | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Stochastic constraint programming | en_US |
| dc.subject | Metaheuristics | en_US |
| dc.subject | Filtering | en_US |
| dc.subject | Filtering Algorithms | en_US |
| dc.subject | Local Search | en_US |
| dc.subject | Optimization | en_US |
| dc.title | Hybrid Metaheuristics for Stochastic Constraint Programming | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Tarim, S. Armagan/0000-0001-5601-3968 | |
| gdc.author.id | Rossi, Roberto/0000-0001-7247-1010 | |
| gdc.author.id | Prestwich, Steven/0000-0002-6218-9158 | |
| gdc.author.id | Hnich, Brahim/0000-0001-8875-8390 | |
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| gdc.author.wosid | Tarim, S. Armagan/B-4414-2010 | |
| gdc.author.wosid | Rossi, Roberto/B-4397-2010 | |
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| gdc.description.department | İzmir Ekonomi Üniversitesi | en_US |
| gdc.description.departmenttemp | [Prestwich, S. D.] Natl Univ Ireland Univ Coll Cork, Insight Ctr Data Analyt, Cork, Ireland; [Tarim, S. A.] Hacettepe Univ, Inst Populat Studies, Ankara, Turkey; [Rossi, R.] Univ Edinburgh, Sch Business, Edinburgh, Midlothian, Scotland; [Hnich, B.] Izmir Univ Econ, Dept Comp Engn, Izmir, Turkey | en_US |
| gdc.description.endpage | 76 | en_US |
| gdc.description.issue | 1 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
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| gdc.description.startpage | 57 | en_US |
| gdc.description.volume | 20 | en_US |
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| gdc.oaire.keywords | Stochastic constraint programming | |
| gdc.oaire.keywords | Metaheuristics | |
| gdc.oaire.keywords | Filtering | |
| gdc.oaire.keywords | metaheuristics | |
| gdc.oaire.keywords | Stochastic programming | |
| gdc.oaire.keywords | filtering | |
| gdc.oaire.keywords | Approximation methods and heuristics in mathematical programming | |
| gdc.oaire.keywords | stochastic constraint programming | |
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