26 citations · 80 across the 14 of their papers we have counts for
4 papers · 1 filter
Deep Learning-Based Operators for Evolutionary Algorithms
Eliad Shem-Tov, Moshe Sipper, Achiya Elyasaf
We present two novel domain-independent genetic operators that harness the capabilities of deep learning: a crossover operator for genetic algorithms and a mutation operator for ge…
Keeping Behavioral Programs Alive: Specifying and Executing Liveness Requirements
Tom Yaacov, Achiya Elyasaf, Gera Weiss
One of the benefits of using executable specifications such as Behavioral Programming (BP) is the ability to align the system implementation with its requirements. This is facilita…
Evolving Assembly Code in an Adversarial Environment
Irina Maliukov, Gera Weiss, Oded Margalit +1
In this work, we evolve Assembly code for the CodeGuru competition. The goal is to create a survivor -- an Assembly program that runs the longest in shared memory, by resisting att…
Deep Neural Crossover
Eliad Shem-Tov, Achiya Elyasaf
We present a novel multi-parent crossover operator in genetic algorithms (GAs) called ``Deep Neural Crossover'' (DNC). Unlike conventional GA crossover operators that rely on a ran…