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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Vydáno v:	IEEE access Ročník 7; s. 154859 - 154871
Hlavní autoři:	De Anda-Suarez, Juan, Carpio-Valadez, Juan Martin, Puga-Soberanese, Hector J., Calzada-Ledesma, Valentin, Rojas-Dominguez, Alfonso, Jeyakumar, Solai, Espinal, Andres
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Approximation Approximation algorithms Boltzmann distribution Boltzmann selection Computational modeling Distribution functions Energy distribution Estimation estimation of distribution algorithms Gaussian distribution J-divergence Kullback-Leibler divergence Normal distribution Optimization Optimization algorithms Probabilistic logic Probabilistic models Probability distribution functions Probability theory Statistical analysis
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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