Results 1 to 10 of about 760,919 (298)
Soft concurrent constraint programming [PDF]
ACM Transactions on Computational Logic, 2002 Soft constraints extend classical constraints to represent multiple consistency levels, and thus provide a way to express preferences, fuzziness, and uncertainty. While there are many soft constraint solving formalisms, even distributed ones, as yet there seems to be no concurrent programming framework where soft constraints can be handled.
BISTARELLI, Stefano +2 more
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Soft constraints on KMOC formalism
Journal of High Energy Physics, 2022 In this note, we investigate the implications of classical soft theorems for the formalism developed by Kosower, Maybee and O’Connell (KMOC) to derive classical observables in gauge theory and gravity from scattering amplitudes.
Yilber Fabian Bautista, Alok Laddha
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Soft Semi-Supervised Deep Learning-Based Clustering
Applied Sciences, 2023 Semi-supervised clustering typically relies on both labeled and unlabeled data to guide the learning process towards the optimal data partition and to prevent falling into local minima.
Mona Suliman AlZuhair +2 more
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Soft budget constraints in Polish public healthcare entities [PDF]
Public and Municipal Finance, 2023 Although the theory of soft budget constraints is widely presented in the literature, little is known about the factors of soft budget constraints in public hospitals in Poland.
Zbysław Dobrowolski +3 more
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Applied Sciences, 2022 The alignment stability and controllability deteriorate considerably when the air spring vibration isolation system for the high power density main engine (HPDME-ASVIS) is in a special running state of high power and high output torque.
Wen-Jun Bu, Jian-Wei Cheng, Liang Shi
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The Non-Smooth and Bi-Objective Team Orienteering Problem with Soft Constraints
Mathematics, 2020 In the classical team orienteering problem (TOP), a fixed fleet of vehicles is employed, each of them with a limited driving range. The manager has to decide about the subset of customers to visit, as well as the visiting order (routes).
Alejandro Estrada-Moreno +4 more
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Development of a doctor scheduling system: a constraint satisfaction and penalty minimisation scheduling model [PDF]
International Journal of Research in Industrial Engineering, 2018 Doctor scheduling is a complex, costly and time-consuming exercise. This study develops a constraint satisfaction and penalty minimisation scheduling model for meeting ‘hard constraints’ and minimises the cost of violating ‘soft constraints’, i.e.
T. Chawasemerwa +2 more
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Interval-valued soft constraint problems [PDF]
Annals of Mathematics and Artificial Intelligence, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M. GELAIN +4 more
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Group Contribution Method-based Multi-objective Evolutionary Molecular Design
Hungarian Journal of Industry and Chemistry, 2016 The search for compounds exhibiting desired physical and chemical properties is an essential, yet complex problem in the chemical, petrochemical, and pharmaceutical industries.
Dörgő Gyula, Abonyi János
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Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI
Remote Sensing, 2020 The paper proposes a transparent approach for mapping the status of environmental phenomena from multisource information based on both soft computing and machine learning.
Alessia Goffi +4 more
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