Results 51 to 60 of about 872,112 (308)
Multi-Objective Optimization Benchmarking Using DSCTool
Mathematics, 2020 By performing data analysis, statistical approaches are highly welcome to explore the data. Nowadays with the increases in computational power and the availability of big data in different domains, it is not enough to perform exploratory data analysis ...
Peter Korošec, Tome Eftimov
doaj +1 more source
Biomimetics, 2023 Satisfying various constraints and multiple objectives simultaneously is a significant challenge in solving constrained multi-objective optimization problems.
Yufei Yang, Changsheng Zhang
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Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization [PDF]
, 2016 Chicano, F., Whitley D., & Tinós R. (2016). Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization. 16th European Conference on Evolutionary Computation for Combinatorial Optimization (LNCS 9595), pp.
Chicano, Francisco +2 more
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Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study [PDF]
, 2016 Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems.
C Coello +9 more
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Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Energy Science & Engineering, 2021 With the depletion of sources of primary energy across the world, the prospect of a global energy crisis in the near future has raised considerable concern.
Bowen Yang
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Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization [PDF]
, 2006 Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize these data mining problems, and addressed through Evolutionary Computation (EC)
A. Hyvarinen +14 more
core +4 more sources
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Pymoo: Multi-Objective Optimization in Python
IEEE Access, 2020 Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, Kalyanmoy Deb
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Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source