A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem
This paper encompasses a detailed review of state-of-the-art swarm-based algorithms, with
a focus on their applications along with a discussion on the merits and limitations of each …
a focus on their applications along with a discussion on the merits and limitations of each …
E-Bayesian estimations for the cumulative hazard rate and mean residual life based on exponential distribution and record data
Estimation of lifetime parameters such as reliability and hazard rate is necessary in many
systems. Each method of estimation suffers from its own problems such as complexity of …
systems. Each method of estimation suffers from its own problems such as complexity of …
Enriched Virtual Element space on curved meshes with an application in magnetics
F Dassi, P Di Barba - Computers & Mathematics with Applications, 2024 - Elsevier
In Beirão da Veiga et al. 2019, the authors proposed a virtual element method for domains
with fixed curved boundary that tends to be locally straight when the discretisation gets finer …
with fixed curved boundary that tends to be locally straight when the discretisation gets finer …
Multiobjective coyote algorithm applied to electromagnetic optimization
J Pierezan, L dos Santos Coelho… - … conference on the …, 2019 - ieeexplore.ieee.org
The Coyote Optimization Algorithm (COA) is a population-based nature-inspired
metaheuristic for global optimization that considers the social relations of the coyote …
metaheuristic for global optimization that considers the social relations of the coyote …
Curved Domains in Magnetics: A Virtual Element Method Approach for the TEAM 25 Benchmark Problem
In this paper, we are interested in solving optimal shape design problems. A critical
challenge within this framework is generating the mesh of the computational domain at each …
challenge within this framework is generating the mesh of the computational domain at each …
An Efficient Multi-objective Optimization Algorithm Exploiting Gradient Enhanced Kriging with Optimally Selected Basis Functions for Electromagnetic Design
J Duan, L Shi, S Xiao, K Zhang - Journal of Electrical Engineering & …, 2023 - Springer
A novel multi-objective optimization strategy utilizing the gradient enhanced dynamic kriging
(GEDK) method has been developed in this paper. In this GEDK method, the basis functions …
(GEDK) method has been developed in this paper. In this GEDK method, the basis functions …
Evaluation of Artificial Notches in Conductive Biomaterials by Sweep Frequency Eddy Current Testing
M Smetana, D Gombarska… - 2023 24th International …, 2023 - ieeexplore.ieee.org
Electromagnetic nondestructive evaluation of conductive biomaterials using the sweep
frequency eddy current method is the subject of this work. The main aim is to verify its use in …
frequency eddy current method is the subject of this work. The main aim is to verify its use in …
Pokročilé metody analýzy a optimalizace matematických modelů
I Petrášová - 2022 - otik.uk.zcu.cz
Práce je zaměřena na řešení vybraných optimalizačních problémů s~ využitím metod pro
aproximaci původního systému vhodným náhradním modelem, na kterém lze mnohdy …
aproximaci původního systému vhodným náhradním modelem, na kterém lze mnohdy …
Key Performance Indicators of Benchmarking in Hospital Information Systems
A Ehteshami, AR Raeisi, M Rashedi - Health Information Management, 2018 - him.mui.ac.ir
Introduction: Monitoring hospital information systems requires developing key indicators and
criteria for efficiency and effectiveness, and consequently fulfillment of organizational …
criteria for efficiency and effectiveness, and consequently fulfillment of organizational …
Methodology of determining material parameters based on optimization techniques
A methodology for finding unknown or unavailable parts of temperature-dependent material
characteristics is presented. Knowledge of these parts is of great importance for solving …
characteristics is presented. Knowledge of these parts is of great importance for solving …