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pro vyhledávání: '"Halperin, Tomer"'
We present a novel approach to performing fitness approximation in genetic algorithms (GAs) using machine-learning (ML) models, through dynamic adaptation to the evolutionary state. Maintaining a dataset of sampled individuals along with their actual
Externí odkaz:
http://arxiv.org/abs/2309.03318
Autor:
Sipper, Moshe, Elyasaf, Achiya, Halperin, Tomer, Haramaty, Zvika, Lapid, Raz, Segal, Eyal, Tzruia, Itai, Tamam, Snir Vitrack
We survey eight recent works by our group, involving the successful blending of evolutionary algorithms with machine learning and deep learning: 1. Binary and Multinomial Classification through Evolutionary Symbolic Regression, 2. Classy Ensemble: A
Externí odkaz:
http://arxiv.org/abs/2306.04971
Publikováno v:
SoftwareX, 22, 2023, 101381, ISSN 2352-7110
EC-KitY is a comprehensive Python library for doing evolutionary computation (EC), licensed under the BSD 3-Clause License, and compatible with scikit-learn. Designed with modern software engineering and machine learning integration in mind, EC-KitY
Externí odkaz:
http://arxiv.org/abs/2207.10367
Akademický článek
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