平常
发表于 2025-3-23 10:32:00
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音乐会
发表于 2025-3-23 14:18:49
Iterative Flattening Search on RCPSP/max Problems: Recent Developments,cacy of .; (2) we highlight an intrisic limitation of the original . strategy in solving RCPSP/max, such that under certain circumstances the two-step improvement loop can get stuck in a status where no solving decision can be retracted; (3) we propose two different . which extend the original . pro
谎言
发表于 2025-3-23 18:29:51
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BANAL
发表于 2025-3-23 23:28:10
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否认
发表于 2025-3-24 05:02:17
From Marriages to Coalitions: A Soft CSP Approach,der to define new coalition-formation principles and stability conditions. In the coalition case, we suppose the preference value as a trust score, since trust can describe the belief of a node in the capabilities of another node, in its honesty and reliability. Semiring-based soft constraints repre
以烟熏消毒
发表于 2025-3-24 06:46:10
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avulsion
发表于 2025-3-24 10:39:43
An Efficient Decision Procedure for Functional Decomposable Theories Based on Dual Constraints,such as: scheduling, resource allocation, computer graphics and bio-informatics. Recently, a new property called . has been introduced and many first-order theories have been proved to be decomposable such as finite or infinite trees, rational and real numbers, linear dense order,...etc. A decision
Encapsulate
发表于 2025-3-24 18:21:18
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人充满活力
发表于 2025-3-24 19:27:53
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inclusive
发表于 2025-3-25 01:03:18
Iterative Flattening Search on RCPSP/max Problems: Recent Developments,RCPSP/max). The algorithm is based on Iterative Flattening Search (.), an effective meta-heuristic strategy proposed over the past years for solving multi-capacity optimization scheduling problems. Given an initial solution, . iteratively applies two steps: (1) a subset of solving decisions are rand