Results 121 to 130 of about 159,833 (300)
A novel robust multi-objective evolutionary optimization algorithm based on surviving rate
Multi-objective evolutionary optimization is widely utilized in industrial design. Despite the success of multi-objective evolutionary optimization algorithms in addressing complex optimization problems, research focusing on input disturbances remains ...
Wenxiang Jiang +3 more
doaj +1 more source
Equity-driven facility location: A two-stage robust optimization approach
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Amin Ahmadi Digehsara +3 more
openaire +2 more sources
Decomposition approaches for two-stage robust binary optimization
In this talk, we study a class of two-stage robust binary optimization problems with polyhedral uncertainty set where recourse decisions are restricted to be mixed-binary and uncertainty is present only in the objective function. We present a deterministic equivalent formulation for these problems through convexification of the recourse feasible region.
Arslan, Ayşe, Detienne, Boris
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Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Airport congestion in metropolitan clusters (Metroplex systems) poses significant challenges, particularly when capacity reductions occur due to adverse weather conditions.
Jie Ren +4 more
doaj +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
To address the challenges of limited operational resilience and insufficient support for critical loads in distribution networks during extreme disturbances, this study proposes a two‐stage robust optimization method for configuring grid‐connected energy
Yanru Duan +4 more
doaj +1 more source
The robust stability of iterative learning control [PDF]
This thesis examines the notion of the long term robust stability of iterative learning control (ILC) systems engaged in trajectory tracking, using a robust stability theorem based on a biased version of the nonlinear gap metric. This is achieved through
Bradley, Richard Stephen
core
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Two-stage robust optimization configuration of comprehensive energy system for the new energy town
A two-stage robust optimization configuration strategy for the new energy town is proposed to address the issue of insufficient power supply reliability in integrated energy systems due to the fluctuation and intermittency characteristics during the ...
Li HU, Jing CHENG
doaj +1 more source

