Soft Constraint Satisfaction
Soft Constraint Satisfaction is a constraint satisfaction framework in which constraints are associated with preference or cost functions, allowing partial or graded satisfaction rather than strict adherence, thereby enabling optimization over trade-offs among competing requirements.
92
Publications
4.9K
Citations
200
Authors
100
Institutions
Publications per year
2017–2026
11
Parents
92
Lianbo Ma, Nan Li, Yinan Guo et al. · IEEE Transactions on Cybernetics · 2021 · 184 citations · Full text
Computing, Computational Engineering, Design Optimization +12
Zsófia Ruttkay · 1994 · 166 citations
1–5 of 92
200
10
h-index
6
h-index
6
h-index
4
h-index
4
h-index
1–5 of 200
100

University of Padua
Padua, Italy
8 h-index
18 publications
564 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
4 h-index
5 publications
525 citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
793 citations
Ludwig-Maximilians-Universität München
Munich, Germany
4 h-index
7 publications
155 citations
Institut de Recherche en Informatique de Toulouse
Toulouse, France
3 h-index
3 publications
318 citations
University of Oxford
Oxford, United Kingdom
3 h-index
4 publications
295 citations

University of Pisa
Pisa, Italy
3 h-index
3 publications
105 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
3 h-index
3 publications
318 citations
1–8 of 100
4 publications · 360 citations
4
h-index
3 publications · 123 citations
4
h-index
Repository · 3 publications · 242 citations
3
h-index
ENTCS · 3 publications · 68 citations
3
h-index
2 publications · 194 citations
2
h-index
1–5