Results 81 to 90 of about 404,478 (325)

Evidence of coevolution in multi-objective evolutionary algorithms [PDF]

, 2009
This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met.
Whitacre, Dr James M
core   +2 more sources

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 more
wiley   +1 more source

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

A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks

Journal of Information and Telecommunication
This paper presents an energy-saving and lifetime-maximizing solution for the LoRa wireless mesh network (WMN). Energy dissipation is a crucial factor affecting the usability of the LoRa WMN.
Hoang Hai Son, Vo Phuc Tinh, Duc Ngoc Minh Dang, Bui Thi Duyen, Duy-Dong Le, Thai-Thinh Dang, Quoc-Hung Nguyen, Thanh-Qui Pham, Van-Luong Nguyen, Tran Anh Khoa, Nguyen Hoang Nam   +10 more
doaj   +1 more source

On the Efficacy of Ensemble of Constraint Handling Techniques in Self-Adaptive Differential Evolution

Mathematics, 2019
Self-adaptive variants of evolutionary algorithms (EAs) tune their parameters on the go by learning from the search history. Adaptive differential evolution with optional external archive (JADE) and self-adaptive differential evolution (SaDE) are two ...
Hassan Javed, Muhammad Asif Jan, Nasser Tairan, Wali Khan Mashwani, Rashida Adeeb Khanum, Muhammad Sulaiman, Hidayat Ullah Khan, Habib Shah   +7 more
doaj   +1 more source

Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems [PDF]

Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes.
Yang, S
core   +4 more sources

X‐Ray Tomography Analysis of Damage Mechanisms in Metal Matrix Syntactic Foams During Compression

Advanced Engineering Materials, EarlyView.
In situ synchrotron X‐ray tomography is used to investigate the internal damage mechanisms of AlSi12 metal matrix syntactic foam with ceramic hollow spheres during compressive loading. It is concluded that a homogeneous distribution of the second‐phase filler material results in a sequential collapse in a localized region; this leads to controlled and ...
Indrajeet Tambe, János Endre Maróti, Imre Norbert Orbulov, Zoltan Hegedűs, Markus Ziehmer, Carl E. Krill III, Håkan Hallberg, Pär A. T. Olsson, Johan Hektor   +8 more
wiley   +1 more source

Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors

IEEE Access
Medical image segmentation is crucial for deep learning (DL) applications in clinical settings. Ensuring accurate segmentation is challenging due to diverse image sources and significant data sharing and privacy concerns in centralized learning setups ...
Nguyen Tan Y, Pham Duc Lam, Vo Phuc Tinh, Duy-Dong Le, Nguyen Hoang Nam, Tran Anh Khoa   +5 more
doaj   +1 more source

Adaptive Evolutionary Clustering

, 2011
In many practical applications of clustering, the objects to be clustered evolve over time, and a clustering result is desired at each time step. In such applications, evolutionary clustering typically outperforms traditional static clustering by ...
AC Harvey, Alfred O. Hero III, DJ Fenn, GW Milligan, H Lütkepohl, H Ning, HW Kuhn, J Schäfer, J Shi, Kevin S. Xu, M Charikar, Mark Kliger, N Eagle, O Ledoit, PJ Mucha, S Haykin, S Tadepalli, T Hastie, T Yang, TW Anderson, U Luxburg von, Y Chen, Y Chi, YR Lin   +23 more
core   +2 more sources

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

Advanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source