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

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樓主: 極大
51#
發(fā)表于 2025-3-30 11:09:22 | 只看該作者
Undirected Forest Constraintsh tree contains a resource, but the forest must contain only . trees, i.e., trees that have at least two vertices each. We develop a hybrid-Consistency algorithm for this case whose running time is . in the worst case, and . in many (typical) cases.
52#
發(fā)表于 2025-3-30 16:11:00 | 只看該作者
On the Separability of Subproblems in Benders Decompositionslems are provided, including some proving that a semantical notion of separability is much more helpful than a syntactic one. We show that separability can be formally characterized as equivalence of logical formulae, and prove the undecidability of the problem of checking separability.
53#
發(fā)表于 2025-3-30 17:40:51 | 只看該作者
The Power of Semidefinite Programming Relaxations for MAX-SATs without degrading the optimal solution, while setting a single variable based on the LP relaxation generally degrades the global optimal solution in the overconstrained area. Our results therefore show that SDP relaxations may further boost exact MAX-SAT solvers.
54#
發(fā)表于 2025-3-30 20:48:24 | 只看該作者
55#
發(fā)表于 2025-3-31 02:33:24 | 只看該作者
Opt Artaits constructed out of complete sets of dominoes (via integer programming) mosaics comprised of abstract geometric tiles (via integer programming and various heuristics), and continuous line drawings (via the “solution” of large-scale instances of the traveling salesman problem).
56#
發(fā)表于 2025-3-31 08:10:44 | 只看該作者
57#
發(fā)表于 2025-3-31 09:42:28 | 只看該作者
58#
發(fā)表于 2025-3-31 14:21:49 | 只看該作者
Progressive Solutions: A Simple but Efficient Dominance Rule for Practical RCPSP similar projects is deduced a priori. We prove that the search space can be reduced to progressive solutions. Computational experiments on two different sets of industrial problem instances are also presented.
59#
發(fā)表于 2025-3-31 17:43:45 | 只看該作者
Event-Driven Probabilistic Constraint Programmingnstraints called “events”, which are related to other constraints via these dependencies. We illustrate our approach on two problems, contrast it with existing frameworks, and discuss future developments.
60#
發(fā)表于 2025-4-1 00:04:35 | 只看該作者
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