Results 31 to 40 of about 17,544 (260)

Black-Box Optimization Using Geodesics in Statistical Manifolds

Entropy, 2015
Information geometric optimization (IGO) is a general framework for stochastic optimization problems aiming at limiting the influence of arbitrary parametrization choices: the initial problem is transformed into the optimization of a smooth function on a
Jérémy Bensadon
doaj   +1 more source

Comparative Analysis of Dynamic Models and Adaptive Process-Noise Modeling for Kalman-Based Aerial Target Tracking

IEEE Access
Accurate target tracking is essential for the effectiveness of air surveillance, air-traffic monitoring, and defense-support systems. This paper presents a comparative study of several dynamic motion models applied to Kalman-based filters for aerial ...
Arthur Medeiros Macedo, Karl Heinz Kienitz   +1 more
doaj   +1 more source

Comparative Analysis of Choroid Plexus Volume Between MOG Antibody Associated Disease and Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun, Shaun G. Hong, Na Young Park, Su‐Hyun Kim, Ho Jin Kim   +4 more
wiley   +1 more source

Active covariance matrix adaptation for the (1+1)-CMA-ES [PDF]

Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010
We propose a novel variant of the (1+1)-CMA-ES that updates the distribution of mutation vectors based on both successful and unsuccessful trial steps. The computational costs of the adaptation procedure are quadratic in the dimensionality of the problem, and the algorithm retains all invariance properties.
Dirk V. Arnold, Nikolaus Hansen
openaire   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Modified Covariance Matrix Adaptation – Evolution Strategy algorithm for constrained optimization under uncertainty, application to rocket design

International Journal for Simulation and Multidisciplinary Design Optimization, 2015
The design of complex systems often induces a constrained optimization problem under uncertainty. An adaptation of CMA-ES(λ, μ) optimization algorithm is proposed in order to efficiently handle the constraints in the presence of noise.
Chocat Rudy, Brevault Loïc, Balesdent Mathieu, Defoort Sébastien   +3 more
doaj   +1 more source

Accurate parameters extraction of PEMFC model based on metaheuristics algorithms

Energy Reports, 2021
The electro-chemical proton exchange membrane fuel cell (PEMFC) is an inventing electrical generator from chemical reaction process as a green energy source.
Ahmed A. Zaki Diab, Hamdi Ali, H.I. Abdul-Ghaffar, Hany A. Abdelsalam, Montaser Abd El Sattar   +4 more
doaj   +1 more source

From Geometry to Function: Programmable Mechanical Response in 3D‐Printed Adipose‐Inspired Soft Metamaterials

Advanced Functional Materials, EarlyView.
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo, Gianmarco Dolino, Damiano Coato, Paolo Gargiulo, Emanuele Luigi Carniel   +4 more
wiley   +1 more source

Bio‐Inspired Biopolymeric Implantable Platform for Localized and Sustained Drug Delivery in Solid Tumor Treatment

Advanced Functional Materials, EarlyView.
A bio‐inspired biopolymeric implantable drug delivery platform enables localized and sustained release of 7‐ethyl‐10‐hydroxycamptothecin (SN‐38) in solid tumor treatment. The three‐dimensional (3D) structured crosslinked‐chitosan implants are fabricated via 3D‐printed molds and provide drug release over 3 months, significantly inhibiting tumor growth ...
Mercedes Lozano‐Garcia, Constantine Vogiatzis, Alejandra Planells‐Devesa, Emre Dikici, Caroline Vieira Maluf, Vasudev Vivekanand Nayak, Paulo G. Coelho, Lukasz Witek, Alicia Bilbao, Daniel Bilbao, Prasoon Mohan, Sapna Deo, Sylvia Daunert   +12 more
wiley   +1 more source

Task Scheduling Algorithm Using Covariance Matrix Adaptation Evolution Strategy (CMA-ES) in Cloud Computing [PDF]

Journal of Advances in Computer Engineering and Technology, 2017
The cloud computing is considered as a computational model which provides the uses requests with resources upon any demand and needs.The need for planning the scheduling of the user's jobs has emerged as an important challenge in the field of cloud ...
Ghazaal Emadi, Amir Masoud Rahmani, Hamed Shahhoseini   +2 more
doaj