Results 71 to 80 of about 229,968 (264)
A Double Learning Models-Based Multi-Objective Estimation of Distribution Algorithm
The recently developed regularity model-based multi-objective estimation of distribution algorithm (RM-MEDA) and inverse models-based multi-objective evolutionary algorithm (IM-MOEA) have been shown to be two effective methods for solving some complex ...
Yanyan Lin, Han Liu, Qiaoyong Jiang
doaj +1 more source
A Study on Multimemetic Estimation of Distribution Algorithms
Multimemetic algorithms (MMAs) are memetic algorithms in which memes (interpreted as non-genetic expressions of problem solving strategies) are explicitly represented and evolved alongside genotypes. This process is commonly approached using the standard genetic procedures of recombination and mutation to manipulate directly information at the memetic ...
Rafael Nogueras, Carlos Cotta
openaire +2 more sources
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
An estimation of distribution algorithm with clustering for scenario-based robust financial optimization. [PDF]
Shi W, Hu XM, Chen WN.
europepmc +1 more source
Rule Induction by Estimation of Distribution Algorithms
In this chapter a preliminary work on the use of Estimation of Distribution Algorithms (EDAs) for the induction of classification rules is presented. Each individual obtained by simulation of the probability distribution learnt in each EDA generation represents a disjunction of a finite number of simple rules.
Sierra Araujo, Basilio +4 more
openaire +2 more sources
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Personalized search and recommendation algorithms for multi-modal data have attracted widespread attention. However, existing methods often struggle with effectively integrating multi-source information and performing global search in complex ...
Lin Bao +4 more
doaj +1 more source
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
Influence of colored Gaussian noise on power estimation algorithm
Aiming at the problem that the accuracy of the active power estimation algorithm is affected by the increasing colored noise of the novel power system, this paper firstly establishes the active power convolution sum estimation algorithm with non ...
DU Mengru +4 more
doaj +1 more source

