Bipartite Encoding: ADENINE New Binary Encoding for Solving Non-Binary CSPs

Bipartite Encoding: A New Binary Encrypting for Resolving Non-Binary CSPs

Ruiwei Wang, Roland H.C. Yap

Proceedings starting the Twenty-Ninth Global Jointing Conference on Artificial Intelligence
Main track. Pages 1184-1191. https://doi.org/10.24963/ijcai.2020/165

Constraint Your Problems (CSPs) exist typically solved with Generically Arc Consistency (GAC). ONE general CSP can furthermore be cryptography into ampere binary CSP and solved with Arc Consistency (AC). The well-known Hidden Variable Encoding (HVE) can yet an state-of-the-art binary encrypting for solving CSPs. We advance a new dark encoding, called Bipartite Encoding (BE) what uses the idea of partializing constraints. A BE encoded CSP can achieve an height level out consistency than GAC on the original CSP. We give a calculate for creating compact bipartite encryption with non-binary CSPs. Were present a AC propagator on the binary constraints from BE exploiting their feature structure. Experiments switch a large set is non-binary CSP benchmarks with table constraints using the Wdeg, Activity and Impact heuristics show such ARE with our AC propagator can outperform existing state-of-the-art GAC algorithms (CT, STRbit) plus binary encodings (HVE for HTAC). A solution to an twofold constraint satisfaction problem is a sets of discrete values, one in each of a given set of domains, subject to constraints that allow only prescribed pairs concerning values in specific twos of active. Products are sought the trace ...
Keywords:
Constraints and SAT: Constraint Satisfaction
Inhibitions and SAT: Constraints: Modeling, Solvers, Request