Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm

Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm

Estimation of Distribution Algorithms (EDAs) maintain and iteratively update a probabilistic model to tackle optimization problems. The Boltzmann Probability Distribution Function (Boltzmann-PDF) provides advantages when used in energy based EDAs. However, direct sampling from the Boltzmann-PDF to u...

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Bibliographic Details
Main Authors: Juan De Anda-Suarez, Juan Martin Carpio-Valadez, Hector J. Puga-Soberanese, Valentin Calzada-Ledesma, Alfonso Rojas-Dominguez, Solai Jeyakumar, Andres Espinal
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Boltzmann selection
estimation of distribution algorithms
Kullback-Leibler divergence
J-divergence
Online Access:https://ieeexplore.ieee.org/document/8876622/

Internet

https://ieeexplore.ieee.org/document/8876622/

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