Introducing Generative adversarial networks on Estimation of distribution algorithm to solve permutation-based problems

As a subclass of evolutionary algorithms, estimation of distribution algorithms (EDAs) have found widespread use in a variety of optimization problems with impressive performance. In each generation, they build a probabilistic model representing the promising individuals, and the next generation con...

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Veröffentlicht in:	2022 International Symposium on iNnovative Informatics of Biskra (ISNIB) S. 1 - 5
Hauptverfasser:	Lemtenneche, Sami, Cheriet, Abdelhakim, Bensayah, Abdallah
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 07.12.2022
Schlagworte:	Deep Generative Models Estimation Estimation of distribution algorithms Generative adversarial networks Permutation Probabilistic logic Scheduling Sociology Training Training data Travelling Salesman Problem
Online-Zugang:	Volltext
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