Results 41 to 50 of about 6,708,930 (288)

Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2019
The job-shop scheduling is one of the most studied optimization problems from the dawn of computer era to the present day. Its combinatorial nature makes it easily expressible as a constraint satisfaction problem.
Giacomo Da Col, Erich Teppan
doaj   +1 more source

An invitation to the promise constraint satisfaction problem

open access: yesACM SIGLOG News, 2022
The study of the complexity of the constraint satisfaction problem (CSP), centred around the Feder-Vardi Dichotomy Conjecture, has been very prominent in the last two decades. After a long concerted effort and many partial results, the Dichotomy Conjecture has been proved in 2017 independently by Bulatov and Zhuk.
Andrei A. Krokhin, Jakub Oprsal
openaire   +3 more sources

Linear Datalog and Bounded Path Duality of Relational Structures [PDF]

open access: yesLogical Methods in Computer Science, 2005
In this paper we systematically investigate the connections between logics with a finite number of variables, structures of bounded pathwidth, and linear Datalog Programs.
Victor Dalmau
doaj   +1 more source

Optimization of long-term planning with a constraint satisfaction problem algorithm with a machine learning

open access: yesInternational Journal of Naval Architecture and Ocean Engineering, 2022
The object of the long-term planning in shipyards is to assign the ordered vessels to the berths with the consideration of the workload balancing. However, there are limitations in establishing an optimized long-term plan because the workload balancing ...
Dong Hoon Kwak   +4 more
doaj   +1 more source

Constraint satisfaction problems and global cardinality constraints [PDF]

open access: yesCommunications of the ACM, 2010
In a constraint satisfaction problem (CSP) the goal is to find an assignment of a given set of variables subject to specified constraints. A global cardinality constraint is an additional requirement that prescribes how many variables must be assigned a certain value.
Andrei A. Bulatov, Dániel Marx
openaire   +2 more sources

On Redundancy in Constraint Satisfaction Problems.

open access: yes, 2022
A constraint language Γ has non-redundancy f(n) if every instance of CSP(Γ) with n variables contains at most f(n) non-redundant constraints. If Γ has maximum arity r then it has non-redundancy O(n^r), but there are notable examples for which this upper bound is far from the best possible.
openaire   +4 more sources

Symmetry Definitions for Constraint Satisfaction Problems [PDF]

open access: yesConstraints, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David A. Cohen   +4 more
openaire   +7 more sources

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

Harmony search algorithm with adaptive parameter setting for solving large bin packing problems [PDF]

open access: yesDecision Science Letters, 2020
Bin packing problem is a constrained optimization problem with a huge search space due to large combinations. Bin packing problem has a wide range of applications in multiple fields.
Amol C. Adamuthe , Tushar Nitave
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

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