56 citations · 80 across the 12 of their papers we have counts for
8 papers
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf +1
A fundamental aspect of behaviour is the ability to encode salient features of experience in memory and use these memories, in combination with current sensory information, to pred…
Batch Tournament Selection for Genetic Programming
Vinicius V. Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf
Lexicase selection achieves very good solution quality by introducing ordered test cases. However, the computational complexity of lexicase selection can prohibit its use in many a…
Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions
W. B. Langdon, W. Banzhaf
We evolve floating point Sextic polynomial populations of genetic programming binary trees for up to a million generations. Programs with almost four hundred million instructions a…
Putting Natural Time into Science
Roger White, Wolfgang Banzhaf
This contribution argues that the notion of time used in the scientific modeling of reality deprives time of its real nature. Difficulties from logic paradoxes to mathematical inco…
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu, Ian Whalen, Vishnu Boddeti +4
This paper introduces NSGA-Net -- an evolutionary approach for neural architecture search (NAS). NSGA-Net is designed with three goals in mind: (1) a procedure considering multiple…
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
Yuan Yuan, Wolfgang Banzhaf
Recent empirical studies show that the performance of GenProg is not satisfactory, particularly for Java. In this paper, we propose ARJA, a new GP based repair approach for automat…