{"title":"Core Expansion in Optimization Crosswords","authors":"A. Botea, V. Bulitko","doi":"10.1609/socs.v16i1.27277","DOIUrl":null,"url":null,"abstract":"In constraint optimization many problem instances remain challenging to current technology.\nWe focus on the Romanian Crosswords Competition Problem.\nIt is a challenging, NP-hard constraint optimization problem\nwhere state-of-the-art AI has been lagging significantly behind top human performance.\nWe present an approach that first builds a core, a portion of the problem that will \nhave a high contribution to the objective function.\nA core is grown into a seed, a partial solution with\na subset of variables defined and instantiated.\nSeeds are further extended into full solutions.\nOur approach takes as input the size of a rectangular core to consider,\nand the locations of zero or more black cells inside the core.\nThe results advance state-of-the-art substantially.\nWe report a boost in the scores obtained, bringing our top solutions\nin the vicinity of top human entries.","PeriodicalId":425645,"journal":{"name":"Symposium on Combinatorial Search","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Combinatorial Search","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1609/socs.v16i1.27277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In constraint optimization many problem instances remain challenging to current technology.
We focus on the Romanian Crosswords Competition Problem.
It is a challenging, NP-hard constraint optimization problem
where state-of-the-art AI has been lagging significantly behind top human performance.
We present an approach that first builds a core, a portion of the problem that will
have a high contribution to the objective function.
A core is grown into a seed, a partial solution with
a subset of variables defined and instantiated.
Seeds are further extended into full solutions.
Our approach takes as input the size of a rectangular core to consider,
and the locations of zero or more black cells inside the core.
The results advance state-of-the-art substantially.
We report a boost in the scores obtained, bringing our top solutions
in the vicinity of top human entries.