Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10422371" target="_blank" >RIV/00216208:11320/20:10422371 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.24963/ijcai.2020/156" target="_blank" >https://doi.org/10.24963/ijcai.2020/156</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24963/ijcai.2020/156" target="_blank" >10.24963/ijcai.2020/156</a>
Alternative languages
Result language
angličtina
Original language name
Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory
Original language description
When modeling an application of practical relevance as an instance of a combinatorial problem X, we are often interested not merely in finding one optimal solution for that instance, but in finding a sufficiently diverse collection of good solutions. In this work we initiate a systematic study of diversity from the point of view of fixed-parameter tractability theory. We consider an intuitive notion of diversity of a collection of solutions which suits a large variety of combinatorial problems of practical interest. Our main contribution is an algorithmic framework which --automatically-- converts a tree-decomposition-based dynamic programming algorithm for a given combinatorial problem X into a dynamic programming algorithm for the diverse version of X. Surprisingly, our algorithm has a polynomial dependence on the diversity parameter.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020
ISBN
978-0-9992411-6-5
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1119-1125
Publisher name
International Joint Conferences on Artificial Intelligence
Place of publication
neuveden
Event location
Yokohama, Japan
Event date
Jan 7, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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