Results 71 to 80 of about 15,438 (311)
Journal of Big Data, 2021 To address the challenges of big data analytics, several works have focused on big data optimization using metaheuristics. The constraint satisfaction problem (CSP) is a fundamental concept of metaheuristics that has shown great efficiency in several ...
Imad Sassi +2 more
doaj +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019 This paper describes a new approach on optimization of regular constraint satisfaction problems (rCSPs) using an auxiliary constraint satisfaction optimization problem (CSOP) that detects areas with a potentially high number of conflicts. The purpose of this approach is to remove conflicts by the combination of regular constraints with intersection and
Sven Löffler +2 more
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Advanced Functional Materials, EarlyView.Diagnostic analysis via the heterojunction validation funnel. The funnel illustrates the hierarchical stratification of 30 reported Type‐II systems based on the three‐phase, seven‐step diagnostic framework. Complete validation through all phases is achieved by only 3.3% of systems, while 96.7% lack full mechanistic validation, revealing a pervasive ...
Ki‐Hyun Kim
wiley +1 more source
CSP-based resource allocation model and algorithms for energy-efficient cloud computing
Tongxin xuebao, 2013 The resource allocation for energy-efficient cloud computing in a heterogeneous environment was modeled as a constraint satisfaction problem (CSP).By solving the constraint satisfaction problem,the optimized allocation scheme minimizing energy ...
Wei-wei LIN +3 more
doaj +2 more sources
PENJADWALAN MATAKULIAH DENGAN MENGGUNAKAN ALGORITMA GENETIKA DAN METODE CONSTRAINT SATISFACTION
JUTI: Jurnal Ilmiah Teknologi Informasi, 2008 Course scheduling problem has gained attention from many researchers. A number of methods have been produced to get optimum schedule. Classical definition of course scheduling cannot fulfill the special needs of lecture scheduling in universities ...
Joko Lianto Buliali +2 more
doaj +1 more source
(DA-DOPF): A Day-Ahead Dynamic Optimal Power Flow With Renewable Energy Integration in Smart Grids
Frontiers in Energy Research, 2021 The performance of a power system can be measured and evaluated by its power flow analysis. Along with the penetration of renewable energies such as wind and solar, the power flow problem has become a complex optimization problem.
Muhammad Arsalan Ilyas +5 more
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Landscape of Solutions in Constraint Satisfaction Problems [PDF]
Physical Review Letters, 2005 4 pages, 4 figures.
Mezard, Marc +2 more
openaire +5 more sources
Advanced Materials, EarlyView.Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
A Hybrid Knowledge-Based Recommender for Product-Service Systems Mass Customization
Information, 2021 Manufacturers today compete to offer not only products, but products accompanied by services, which are referred to as product-service systems (PSSs).
Laila Esheiba +3 more
doaj +1 more source