Experimental investigation and reliability-based optimization of the nut factor in bolted joints considering friction coefficient, surface roughness and material hardness. [PDF]
Tran VT, Nguyen HL.
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Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning. [PDF]
Chatterjee A, Avazov N.
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Study on the optimization of natural gas station inspection paths considering station priority. [PDF]
Peng X, Li J, Yuan Y.
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The construction of improved evaluation indicator system and quantitative method of hydropower station dispatching scheme. [PDF]
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Full Constraint Satisfaction Problems
SIAM Journal on Computing, 2006Feder and Vardi have conjectured that all constraint satisfaction problems to a fixed structure (constraint language) are polynomial or NP-complete. This so-called dichotomy conjecture remains open, although it has been proved in a number of special cases.
Tomás Feder, Pavol Hell
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Belief Constraint Satisfaction Problems
2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), 2015Every problem that can be described by a set of variables and a set of constraints among those variables can easily be cast as a Constraint Satisfaction Problem (CSP). In spite of its simplicity, the standard CSP has proven unsuited for modeling ill-defined decision problems, especially, under uncertain circumstances.
Aouatef Rouahi +2 more
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Constraint satisfaction problems
ACM SIGLOG News, 2018In this paper we briefly survey the history of the Dichotomy Conjecture for the Constraint Satisfaction problem, that was posed 25 years ago by Feder and Vardi. We outline some of the approaches to this conjecture, and then describe an algorithm that yields an answer to the conjecture.
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An Algorithm for Constraint Satisfaction Problem
2017 IEEE 47th International Symposium on Multiple-Valued Logic (ISMVL), 2017Many natural combinatorial problems can be expressed as constraint satisfaction problems. This class of problems is known to be NP-complete in general, but certain restrictions on theform of the constraints can ensure tractability. The standard way to parameterize interesting subclasses of the constraint satisfaction problem is via finite constraint ...
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Constraint Satisfaction Differential Problems
2003System dynamics is often modeled by means of parametric differential equations. Despite their expressive power, they are difficult to reason about and make safe decisions, given their non-linearity and the important effects that the uncertainty on data may cause.
Jorge Cruz 0001, Pedro Barahona
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Constraint Satisfaction Problems: An Overview
AI Communications, 1989Many AI problems can be formulated as Constraint Satisfaction Problems (CSP). Using a systematic search process with backtracking this kind of problems can be solved, but this method is very inefficient. Other methods solving CSP have been developed showing a better performance.
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