Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; Third International J. Christopher B

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書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem影響因子(影響力)

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem影響因子(影響力)學(xué)科排名

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem網(wǎng)絡(luò)公開度

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem網(wǎng)絡(luò)公開度學(xué)科排名

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem被引頻次

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem被引頻次學(xué)科排名

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem年度引用

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem年度引用學(xué)科排名

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem讀者反饋

書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem讀者反饋學(xué)科排名

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Duality in Optimization and Constraint Satisfactiondiscuss linear programming, surrogate, Lagrangean, superadditive, and constraint duals, as well as duals defined by resolution and filtering algorithms. Inference duals give rise to nogood-based search methods and sensitivity analysis, while relaxation duals provide bounds. This analysis shows that

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A Totally Unimodular Description of the Consistent Value Polytope for Binary Constraint Programmingroduce the consistent value polytope and give a linear programming description that is provably tighter than a recently studied formulation. We then provide an experimental study that shows that, despite the theoretical progress, in practice filtering based on mathematical programming relaxations co

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只看該作者 · 發(fā)表于 2025-3-23 07:25:19

The Power of Semidefinite Programming Relaxations for MAX-SATinite Programming (SDP) based relaxations with LP relaxations for MAX-2-SAT. We will show how SDP relaxations are surprisingly powerful, providing much tighter bounds than LP relaxations, across different constrainedness regions. SDP relaxations can also be computed very efficiently, thus quickly pr

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