26 citations · 80 across the 14 of their papers we have counts for
3 papers · 1 filter
Fitness Approximation through Machine Learning
Itai Tzruia, Tomer Halperin, Moshe Sipper +1
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…
Provengo: A Tool Suite for Scenario Driven Model-Based Testing
Michael Bar-Sinai, Achiya Elyasaf, Gera Weiss +1
We present Provengo, a comprehensive suite of tools designed to facilitate the implementation of Scenario-Driven Model-Based Testing (SDMBT), an innovative approach that utilizes s…
A Melting Pot of Evolution and Learning
Moshe Sipper, Achiya Elyasaf, Tomer Halperin +5
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 Classific…