Zobrazeno 1 - 10
of 1 226
pro vyhledávání: '"Black-Box Optimization"'
Publikováno v:
Results in Control and Optimization, Vol 16, Iss , Pp 100460- (2024)
Black-box optimization plays a pivotal role in addressing complex real-world problems where the underlying mathematical model is unknown or expensive to evaluate. In this context, this work presents a method to enhance the performance of derivative-f
Externí odkaz:
https://doaj.org/article/46a17d162ee54b1f9d643701bae146f2
Publikováno v:
IEEE Access, Vol 12, Pp 95347-95355 (2024)
Induction heating is an efficient alternative to fuel combustion in thermal applications. The design of the coil arrangement is a complex problem, constrained by electromagnetic and thermal dynamics. This article proposes a multi-objective optimizati
Externí odkaz:
https://doaj.org/article/9f751e34431a46e5a7a280a0d7ff19f8
Publikováno v:
Water Practice and Technology, Vol 19, Iss 1, Pp 1-19 (2024)
During the last decades, municipalities have increasingly invested in new approaches for rehabilitating sewerage networks. With the increasing number of rehabilitation techniques, objectives and constraints, the number of rehabilitation scenarios ris
Externí odkaz:
https://doaj.org/article/e61b9c8761b64072a95c3b6de42b931c
Autor:
Vahid Sadrian, Esmail Lakzian, Davood Hoseinzade, Behrad Haghighi, M.M. Rashidi, Heuy Dong Kim
Publikováno v:
Propulsion and Power Research, Vol 12, Iss 4, Pp 467-485 (2023)
Water droplets cause corrosion and erosion, condensation loss, and thermal efficiency reduction in low-pressure steam turbines. In this study, multi-objective optimization was carried out using the black-box method through the automatic linking of a
Externí odkaz:
https://doaj.org/article/1eabffad47be443e809b7e6d92752691
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
We propose a systematic design approach for the precast concrete industry to promote sustainable construction practices. By employing a holistic optimization procedure, we combine the concrete mixture design and structural simulations in a joint, for
Externí odkaz:
https://doaj.org/article/568bc41eb6624398ab4315f6db63c8c6
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1148 (2024)
Federated learning has become a prevalent distributed training paradigm, in which local devices collaboratively train learning models without exchanging local data. One of the most dominant frameworks of federated learning (FL) is FedAvg, since it is
Externí odkaz:
https://doaj.org/article/1e268b04305246f680af06d0b1d759af
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
In materials informatics, searching for chemical materials with desired properties is challenging due to the vastness of the chemical space. Moreover, the high cost of evaluating properties necessitates a search with a few clues. In practice, there i
Externí odkaz:
https://doaj.org/article/16cffb53ec644f7887c142ae0aadd168
Publikováno v:
Advanced Photonics Research, Vol 4, Iss 12, Pp n/a-n/a (2023)
Machine‐learning‐based optimization techniques are widely used for designing complex materials. However, an efficient search for the complex systems, where a combinatorial explosion occurs in the materials search space, is still challenging. Core
Externí odkaz:
https://doaj.org/article/3c4a3856413a4236a93f0d404e41cc36
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 10, Pp n/a-n/a (2023)
Self‐learning entropic population annealing (SLEPA) is a recently developed method used for achieving interpretable black‐box optimization via density‐of‐states estimation. Applying SLEPA to a chemical space is not straightforward, however, b
Externí odkaz:
https://doaj.org/article/37cb1a9d71354f6594028550e5eb2de2
Publikováno v:
IEEE Open Journal of Control Systems, Vol 2, Pp 263-276 (2023)
This article presents a new method for model-free verification of a general class of control systems with unknown nonlinear dynamics, where the state space has both a continuum-based and a discrete component. Specifically, we focus on finding what ch
Externí odkaz:
https://doaj.org/article/10139ff1fdb04248982c785cbb216828