Results 91 to 100 of about 2,763,762 (257)

Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches

Mathematics
Metaheuristics are powerful optimization techniques that are well-suited for addressing complex combinatorial problems across diverse scientific and industrial domains.
Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi   +3 more
doaj   +1 more source

Surrogate-assisted evolutionary optimization frameworks for high-fidelity engineering design problems [PDF]

, 2004
Over the last decade, Evolutionary Algorithms (EAs) have emerged as a powerful paradigm for global optimization of multimodal functions. More recently, there has been significant interest in applying EAs to engineering design problems.
Wong, K.W., Ong, Yew Soon, Keane, A.J., Nair, P.B., Ong, Y.S.   +4 more
core  

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey

Complex & Intelligent Systems
As potent approaches for addressing computationally expensive optimization problems, surrogate-assisted evolutionary algorithms (SAEAs) have garnered increasing attention.
Shulei Liu, Handing Wang, Wei Peng, Wen Yao   +3 more
doaj   +1 more source

L‐aspartate oxidase provides new insights into fumarate reduction in anaerobic darkness in Synechocystis sp. PCC6803

FEBS Letters, EarlyView.
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil, Jeffrey A. Hawkes, Cecilia Blikstad, Pia Lindberg   +3 more
wiley   +1 more source

Creating a Real‐Time Capable Surrogate Model of a Wind Turbine Using Machine Learning

Wind Energy
Multibody simulation (MBS) is an established method for modeling wind turbines for purposes such as load calculation. While capable of modeling wind turbines at high levels of detail, large MBS models can be computationally expensive.
Stefan Witter, Jakob Roth, Ralf Schelenz, Georg Jacobs   +3 more
doaj   +1 more source

Impact of base points distributions on the polynomial surrogate modeling of a substrate integrated waveguide with microstrip transitions

, 2010
Surrogate modeling using a polynomial approximation of a coarse model of a Substrate Integrated Waveguide (SIW) with microstrip transitions is presented in this paper.
Cordero-Baltazar, D. E., Rayas-Sánchez, José E.   +1 more
core   +1 more source

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

Accurate and uncertainty-aware multi-task prediction of HEA properties using prior-guided deep Gaussian processes

npj Computational Materials
Surrogate modeling techniques have become indispensable in accelerating the discovery and optimization of high-entropy alloys (HEAs), especially when integrating computational predictions with sparse experimental observations.
Sk Md Ahnaf Akif Alvi, Mrinalini Mulukutla, Nicolás Flores, Danial Khatamsaz, Jan Janssen, Danny Perez, Douglas Allaire, Vahid Attari, Raymundo Arróyave   +8 more
doaj   +1 more source