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An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis [PDF]
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
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copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas [PDF]
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
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An Estimation of Distribution Algorithm for Permutation Flow-Shop Scheduling Problem
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
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A Radial Hybrid Estimation of Distribution Algorithm for the Truck and Trailer Routing Problem
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
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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
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Experimental analysis of a statistical multiploid genetic algorithm for dynamic environments
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
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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
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Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs
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
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On the Use of Compact Approaches in Evolution Strategies
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
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Machine-Learning-Based Parameter Estimation of Gaussian Quantum States
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
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