Titlebook: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 16th International C Louis-Martin Rousseau,Kostas

CHARY

書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research影響因子(影響力)




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research影響因子(影響力)學科排名




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research網絡公開度




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research網絡公開度學科排名




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research被引頻次




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research被引頻次學科排名




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research年度引用




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research年度引用學科排名




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research讀者反饋




書目名稱Integration of Constraint Programming, Artificial Intelligence, and Operations Research讀者反饋學科排名

GRAIN

增減字母法

Insul島

An Improved Subsumption Testing Algorithm for the Optimal-Size Sorting Network Problem,ing networks. We were able to generate all the complete sets of filters for comparator networks with 9 channels, confirming that the 25-comparators sorting network is optimal. The running time was reduced more than 10 times, compared to the state-of-the-art result described in [.].

聯(lián)合

SAT Encodings of Pseudo-Boolean Constraints with At-Most-One Relations,cally reduced in size thanks to the presence of AMO constraints. Moreover, the new encodings preserve the propagation properties of the original ones. Our experiments show a significant reduction in solving time thanks to the new encodings.

泥瓦匠

眉毛

intertwine

Constraint Programming for Dynamic Symbolic Execution of JavaScript,ch against state-of-the-art SMT solvers. Experimental results, in terms of both speed and coverage, show the benefits of our approach, thus opening new research vistas for using CP techniques in the service of program analysis.

Insulin

Local Rapid Learning for Integer Programs,c criteria to predict the chance for local Rapid Learning to be successful. Our computational experiments indicate that our extended Rapid Learning algorithm significantly speeds up MIP search and is particularly beneficial on highly dual degenerate problems.

清晰