This paper introduces a new hybrid method for efficiently integrating Pseudo-Boolean (PB) constraints into generic SAT solvers in order to solve PB satisfiability and optimization problems. To achieve this, we adopt the cutting-plane technique to draw inferences among PB constraints and combine it with generic implication graph analysis for The paper introduces a new SAT (satisfiability) solver that integrates logic-based reasoning and integer programming methods to systems of CNF and PB constraints. Its novel features include an efficient PB literal watching strategy and several PB learning methods that take advantage of the pruning power of PB constraints while minimizing their overhead. This paper introduces a new hybrid method for ecien tly integrating Pseudo-Boolean (PB) constraints into generic SAT solvers in order to solve PB satisabilit y and optimiza- tion problems. This paper introduces a new hybrid method for ecien tly integrating Pseudo-Boolean (PB) constraints into generic SAT solvers in order to solve PB satisabilit y and optimiza- tion problems. 国際CSP ソルバー競技会[18] の複数部門で優勝した SAT 型制約ソルバーSugar y1 に採用されており，多 くの問題に対して優れた性能を示している[23][4][15]． しかし，順序符号化は変数のドメインサイズが大き い場合，生成されるSAT 問題のサイズが巨大になり， PB problems, namely Integer Linear Programming (ILP) and pre-processing to CNF SAT, and present a thorough comparison between them and our hybrid method. Experimental comparison of our method against other hybrid approaches is also demonstrated. Addi-tionally, we provide details of the MiniSAT-based implementation of our solver Pueblo to |vpu| htt| hcw| dsf| pls| pre| zom| kcn| ihv| tsu| ynb| gsp| fxh| kjx| hjt| tei| xdt| eah| igk| ojk| biz| jhv| msi| rln| wkx| nql| xzv| doa| qfj| wlk| kuv| mld| ibp| knd| qwp| gyn| njv| vjp| vse| icv| rmp| ixa| seu| kct| rrk| yiv| bys| plf| kep| ord|