Results 91 to 100 of about 151,821 (357)
Benchmarking hybrid algorithms for distributed constraint optimisation games
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose eight DCOP algorithms, taken from the game theory and computer science literatures, into their ...
Jennings, Nick +2 more
core
Algorithms for Quantified Constraint Satisfaction Problems [PDF]
Many propagation and search algorithms have been developed for constraint satisfaction problems (CSPs). In a standard CSP all variables are existentially quantified. The CSP formalism can be extended to allow universally quantified variables, in which case the complexity of the basic reasoning tasks rises from NP-complete to PSPACE-complete.
Stergiou, K, Mamoulis, N
openaire +2 more sources
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Effective compilation of constraint models
Constraint Programming is a powerful technique for solving large-scale combinatorial (optimisation) problems. However, it is often inaccessible to users without expert knowledge in the area, precluding the wide-spread use of Constraint Programming ...
Rendl, Andrea
core
A geometric constraint over k-dimensional objects and shapes subject to business rules [PDF]
This report presents a global constraint that enforces rules written in a language based on arithmetic and first-order logic to hold among a set of objects.
Nicolas Beldiceanu +6 more
core +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm
Ben Gabrielson +4 more
openalex +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
A Course Scheduling Algorithm Based on Self-Adaptive Constrained Particle Swarm*
The automatic course scheduling in college is a complex constraint optimization problem. A kind of self-adaptive constraint particle swarm algorithm is proposed to avoid premature convergence of particle swarm optimization algorithm.
Cui Wei, Long Xiaohong
doaj +1 more source

