Results 101 to 110 of about 5,786,914 (366)

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

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

Forecasting Recharging Demand to Integrate Electric Vehicle Fleets in Smart Grids [PDF]

, 2019
Electric vehicle fleets and smart grids are two growing technologies. These technologies provided new possibilities to reduce pollution and increase energy efficiency. In this sense, electric vehicles are used as mobile loads in the power grid.
García Caro, Sebastián, García Delgado, Antonio, Guerrero Alonso, Juan Ignacio, León de Mora, Carlos, León de Mora, Carlos (Coordinador), Parejo Matos, Antonio, Personal Vázquez, Enrique   +6 more
core  

The Self-Organization of Interaction Networks for Nature-Inspired Optimization

, 2009
Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into nature inspired optimization algorithms.
Pham, Q. Tuan, Sarker, Ruhul A., Whitacre, James M.   +2 more
core   +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   +3 more sources

A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms

Computational Intelligence and Neuroscience, 2016
Multiobjective evolutionary algorithms have incorporated surrogate models in order to reduce the number of required evaluations to approximate the Pareto front of computationally expensive multiobjective optimization problems.
Alan Díaz-Manríquez, G. T. Pulido, J. H. Barrón-Zambrano, E. Tello-Leal   +3 more
semanticscholar   +1 more source

Evolutionary algorithms

, 2015
Outline of lectures course "Evolutionary Algorithms" (in Russian)
openaire   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

An evolutionary method for finding the optimal path connecting two settlements

Научный вестник МГТУ ГА, 2016
The paper describes an evolutionary method and an algorithm for finding the optimal path connecting two settlements.
Yu. I. Dement'ev, R. V. Zimin
doaj