Results 51 to 60 of about 356,284 (355)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
The classic differential evolution algorithm and its convergence properties [PDF]
, 2017 summary:Differential evolution algorithms represent an up to date and efficient way of solving complicated optimization tasks. In this article we concentrate on the ability of the differential evolution algorithms to attain the global minimum of the cost
Knobloch, Roman +2 more
core +1 more source
Multi-strategy Differential Evolution [PDF]
, 2018 We propose the Multi-strategy Differential Evolution (MsDE) algorithm to construct and maintain a self-adaptive ensemble of search strategies while solving an optimization problem. The ensemble of strategies is represented as agents that interact with the candidate solutions to improve their fitness.
Anil Yaman +4 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Differential Evolution with Enhanced Abilities for Adaptation Applied to Heterogeneous Numerical Optimization [PDF]
, 2012 This article presents an exploration of Differential Evolution (DE) algorithm with enhanced adaptability. The main purpose of this study is to identify how this search method can cope with changes of the number of variables of a hard design test, unaided.
Lazarova, Mariya, Penev, Kalin
core
Choosing DBSCAN parameters automatically using differential evolution [PDF]
, 2014 Over the last several years, DBSCAN (Density-Based Spatial Clusteringof Applications with Noise) has been widely applied inmany areas of science due to its simplicity, robustness againstnoise (outlier) and ability to discover clusters of arbitrary shapes.
Johansson, Ronnie, Karami, Amin
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker +11 more
wiley +1 more source
Two level Differential Evolution algorithms for ARMA parameters estimatio [PDF]
, 2013 The problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme ...
Tijani, Ismaila +2 more
core +1 more source
SoftwareXThe differential evolution algorithm, introduced in 1997, remains one of the most frequently used methods for solving complex optimization problems.
Błażej Zieliński +3 more
doaj +1 more source
Triple and quadruple comparison-based interactive differential evolution and differential evolution
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII, 2013 We propose a triple comparison and a quadruple comparison-based mechanism for enhancing differential evolution (DE), especially for interactive DE (IDE) where the method can be used to reduce IDE user fatigue. Besides the target vector and trial vector from normal DE, opposition vectors generated by opposition-based learning are used to determine ...
Yan Pei 0001, Hideyuki Takagi
openaire +1 more source