Stochastic Constraint Programming by Neuroevolution With Filtering
| 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 | 2023-06-16T14:58:02Z | |
| dc.date.available | 2023-06-16T14:58:02Z | |
| dc.date.issued | 2010 | |
| dc.description | The ARTIST Design;Network of Excellence;The Institute for Computational Sustainability (ICS);The Cork Constraint Computation Center;The Association for Constraint Programming (ACP) | en_US |
| dc.description | 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010 -- 14 June 2010 through 18 June 2010 -- Bologna -- 81368 | en_US |
| dc.description.abstract | Stochastic Constraint Programming is an extension of Constraint Programming for modelling and solving combinatorial problems involving uncertainty. A solution to such a problem is a policy tree that specifies decision variable assignments in each scenario. Several complete solution methods have been proposed, but the authors recently showed that an incomplete approach based on neuroevolution is more scalable. In this paper we hybridise neuroevolution with constraint filtering on hard constraints, and show both theoretically and empirically that the hybrid can learn more complex policies more quickly. © 2010 Springer-Verlag. | en_US |
| dc.description.sponsorship | SOBAG-108K027; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK; Hacettepe Üniversitesi | en_US |
| dc.description.sponsorship | S. A. Tarim and B. Hnich are supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant No. SOBAG-108K027. S. A. Tarim is also supported by Hacettepe University (BAB). A version of this algorithm will used to further research in risk management as part of a collaboration with IBM Research, with partial support from the Irish Development Association and IRCSET. | en_US |
| dc.identifier.doi | 10.1007/978-3-642-13520-0_30 | |
| dc.identifier.isbn | 3642135196 | |
| dc.identifier.isbn | 9783642135194 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.scopus | 2-s2.0-77955452287 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-642-13520-0_30 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/3404 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Combinatorial problem | en_US |
| dc.subject | Complete solutions | en_US |
| dc.subject | Constraint programming | en_US |
| dc.subject | Decision variables | en_US |
| dc.subject | Hard constraints | en_US |
| dc.subject | Neuroevolution | en_US |
| dc.subject | Stochastic constraints | en_US |
| dc.subject | Combinatorial optimization | en_US |
| dc.subject | Computer programming | en_US |
| dc.subject | Constraint theory | en_US |
| dc.subject | Decision making | en_US |
| dc.subject | Stochastic systems | en_US |
| dc.subject | Problem solving | en_US |
| dc.title | Stochastic Constraint Programming by Neuroevolution With Filtering | en_US |
| dc.type | Conference Object | en_US |
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| gdc.description.departmenttemp | Prestwich, S.D., Cork Constraint Computation Centre, University College Cork, Ireland; Tarim, S.A., Department of Management, Hacettepe University, Ankara, Turkey; Rossi, R., Logistics, Decision and Information Sciences Group, Wageningen UR, Netherlands; Hnich, B., Faculty of Computer Science, Izmir University of Economics, Turkey | en_US |
| gdc.description.endpage | 286 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q3 | |
| gdc.description.startpage | 282 | en_US |
| gdc.description.volume | 6140 LNCS | en_US |
| gdc.description.wosquality | N/A | |
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