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An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis [PDF]

open access: yesMathematics, 2019
This article presents a novel hybrid classification paradigm for medical diagnoses and prognoses prediction. The core mechanism of the proposed method relies on a centroid classification algorithm whose logic is exploited to formulate the classification ...
Valentino Santucci   +2 more
doaj   +3 more sources

copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas [PDF]

open access: yesJournal of Statistical Software, 2014
The use of copula-based models in EDAs (estimation of distribution algorithms) is currently an active area of research. In this context, the copulaedas package for R provides a platform where EDAs based on copulas can be implemented and studied.
Yasser Gonzalez-Fernandez, Marta Soto
doaj   +6 more sources

An Estimation of Distribution Algorithm for Permutation Flow-Shop Scheduling Problem

open access: yesSystems, 2023
Estimation of distribution algorithms (EDAs) is a subset of evolutionary algorithms widely used in various optimization problems, known for their favorable results.
Sami Lemtenneche   +2 more
doaj   +1 more source

A Radial Hybrid Estimation of Distribution Algorithm for the Truck and Trailer Routing Problem

open access: yesMathematical and Computational Applications, 2023
The truck and trailer routing problem (TTRP) has been widely studied under different approaches. This is due to its practical characteristic that makes its research interesting.
Ricardo Pérez-Rodríguez   +1 more
doaj   +1 more source

An Adaptive Evolutionary Multi-Objective Estimation of Distribution Algorithm and Its Application to Multi-UAV Path Planning

open access: yesIEEE Access, 2023
This paper concerns the multi-UAV cooperative path planning problem, which is solved by multi-objective optimization and by an adaptive evolutionary multi-objective estimation of distribution algorithm (AEMO-EDA).
Ren Yuhang, Zhang Liang
doaj   +1 more source

Experimental analysis of a statistical multiploid genetic algorithm for dynamic environments

open access: yesEngineering Science and Technology, an International Journal, 2022
Dynamic environments are still a big challenge for optimization algorithms. In this paper, a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method is proposed.
Emrullah Gazioğlu, A.Sima Etaner-Uyar
doaj   +1 more source

Bayesian Learning-Based Clustered-Sparse Channel Estimation for Time-Varying Underwater Acoustic OFDM Communication

open access: yesSensors, 2021
Orthogonal frequency division multiplexing (OFDM) has been widely adopted in underwater acoustic (UWA) communication due to its good anti-multipath performance and high spectral efficiency.
Shuaijun Wang, Mingliu Liu, Deshi Li
doaj   +1 more source

Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs

open access: yesRemote Sensing, 2021
Vehicle pose estimation is essential in autonomous vehicle (AV) perception technology. However, due to the different density distributions of the point cloud, it is challenging to achieve sensitive direction extraction based on 3D LiDAR by using the ...
Hanqi Wang   +5 more
doaj   +1 more source

On the Use of Compact Approaches in Evolution Strategies

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2014
Compact evolutionary algorithms have proven to be an efficient alternative for solving optimization problems in computing environments with low processing power. In this kind of solution, a probability distribution simulates the behavior of a population,
Anderson SERGIO   +2 more
doaj   +1 more source

Machine-Learning-Based Parameter Estimation of Gaussian Quantum States

open access: yesIEEE Transactions on Quantum Engineering, 2022
In this article, we propose a machine-learning framework for parameter estimation of single-mode Gaussian quantum states. Under a Bayesian framework, our approach estimates parameters of suitable prior distributions from measured data.
Neel Kanth Kundu   +2 more
doaj   +1 more source

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