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07/31/2023
Discovering Adaptable Symbolic Algorithms from Scratch
Autonomous robots deployed in the real world will need control policies ...
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07/31/2023
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression
This paper examines various methods of computing uncertainty and diversi...
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11/15/2022
Phenotype Search Trajectory Networks for Linear Genetic Programming
Genotype-to-phenotype mappings translate genotypic variations such as mu...
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09/09/2022
An Artificial Chemistry Implementation of a Gene Regulatory Network
Gene Regulatory Networks are networks of interactions in biological orga...
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05/31/2022
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks
The use of correlation as a fitness function is explored in symbolic reg...
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04/28/2022
Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences
Genetic improvement is a search technique that aims to improve a given a...
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02/09/2022
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP
In this paper we introduce an active learning method for symbolic regres...
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02/08/2022
Using Genetic Programming to Predict and Optimize Protein Function
Protein engineers conventionally use tools such as Directed Evolution to...
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06/23/2021
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
A fundamental aspect of behaviour is the ability to encode salient featu...
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02/09/2021
The Factory Must Grow: Automation in Factorio
Efficient optimization of resources is paramount to success in many prob...
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07/20/2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
In this paper, we propose an efficient NAS algorithm for generating task...
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07/03/2020
The Effects of Taxes on Wealth Inequality in Artificial Chemistry Models of Economic Activity
We consider a number of Artificial Chemistry models for economic activit...
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05/23/2020
Evolution of Cooperative Hunting in Artificial Multi-layered Societies
The complexity of cooperative behavior is a crucial issue in multiagent-...
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05/12/2020
Neural Architecture Transfer
Neural architecture search (NAS) has emerged as a promising avenue for a...
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05/01/2020
It is Time for New Perspectives on How to Fight Bloat in GP
The present and future of evolutionary algorithms depends on the proper ...
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12/03/2019
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
Convolutional neural networks (CNNs) are the backbones of deep learning ...
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04/18/2019
Batch Tournament Selection for Genetic Programming
Lexicase selection achieves very good solution quality by introducing or...
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01/11/2019
Putting Natural Time into Science
This contribution argues that the notion of time used in the scientific ...
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10/08/2018
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search
This paper introduces NSGA-Net, an evolutionary approach for neural arch...
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12/21/2017
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
Recent empirical studies show that the performance of GenProg is not sat...
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03/14/2017
Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization
This paper proposes Drone Squadron Optimization, a new self-adaptive met...
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12/16/2005
