Results 71 to 80 of about 10,333,076 (321)
A High-Performance Stochastic Fractal Search Algorithm for Optimal Generation Dispatch Problem
Energies, 2019 This paper proposes applications of a modified stochastic fractal search algorithm (MSFS) to solve the economic load dispatch problem (ELD) in which valve-point effects, prohibited operating zones, power losses in all conductors, multi-fuel sources and ...
Ly Huu Pham +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Performance Analysis of Tree Seed Algorithm for Small Dimension Optimization Functions
Advances in Electrical and Computer Engineering, 2020 Tree-Seed Algorithm (TSA) simulates the growth of trees and seeds on a land. TSA is a method proposed to solve continuous optimization problems. Trees and seeds indicate possible solutions in the search space for optimization problems.
BESKIRLI, M.
doaj +1 more source
One-Step or Two-Step Optimization and the Overfitting Phenomenon: A Case Study on Time Series Classification [PDF]
, 2014 For the last few decades, optimization has been developing at a fast rate. Bio-inspired optimization algorithms are metaheuristics inspired by nature.
Fuad, Muhammad Marwan Muhammad
core +1 more source
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Development of initial optimization and transmission matrix calculation algorithms. New concepts to account for refractive index variations with adaptive meshing, Levy statistics and Monte Carlo modelling of light propagation in complex ...
Benoit Liquet +2 more
+6 more sources
DM: Dehghani Method for Modifying Optimization Algorithms
Applied Sciences, 2020 In recent decades, many optimization algorithms have been proposed by researchers to solve optimization problems in various branches of science. Optimization algorithms are designed based on various phenomena in nature, the laws of physics, the rules of ...
Mohammad Dehghani +10 more
doaj +1 more source
Comparison of Evolutionary Optimization Algorithms for FM-TV Broadcasting Antenna Array Null Filling [PDF]
, 2015 Broadcasting antenna array null filling is a very challenging problem for antenna design optimization. This paper compares five antenna design optimization algorithms (Differential Evolution, Particle Swarm, Taguchi, Invasive Weed, Adaptive Invasive ...
Aristotelis, Bizopoulos +7 more
core
Anti-coronavirus optimization algorithm
Soft Computing, 2022 This paper introduces a new swarm intelligence strategy, anti-coronavirus optimization (ACVO) algorithm. This algorithm is a multi-agent strategy, in which each agent is a person that tries to stay healthy and slow down the spread of COVID-19 by observing the containment protocols.
openaire +2 more sources
FEBS Open Bio, EarlyView.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