A Systematic Literature Review of the Successors of “NeuroEvolution of Augmenting Topologies”
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Systematic Literature Review of the Successors of “NeuroEvolution of Augmenting Topologies”
Authors
Keywords
-
Journal
EVOLUTIONARY COMPUTATION
Volume 29, Issue 1, Pages 1-73
Publisher
MIT Press - Journals
Online
2020-11-05
DOI
10.1162/evco_a_00282
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quality and Diversity Optimization: A Unifying Modular Framework
- (2018) Antoine Cully et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies
- (2017) Bruno Grisci et al. Journal of Bioinformatics and Computational Biology
- The International General Game Playing Competition
- (2017) Michael Genesereth et al. AI MAGAZINE
- Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution
- (2016) Jacob Schrum et al. EVOLUTIONARY COMPUTATION
- odNEAT: An Algorithm for Decentralised Online Evolution of Robotic Controllers
- (2015) Fernando Silva et al. EVOLUTIONARY COMPUTATION
- An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems
- (2015) Huy Q. Dinh et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Robots that can adapt like animals
- (2015) Antoine Cully et al. NATURE
- Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics
- (2015) P. Caamaño et al. NEURAL PROCESSING LETTERS
- Predictive feature selection for genetic policy search
- (2014) Steven Loscalzo et al. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
- Combining NEAT and PSO for learning tactical human behavior
- (2014) Gary Stein et al. NEURAL COMPUTING & APPLICATIONS
- Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules
- (2013) Maxine Tan et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- The evolutionary origins of modularity
- (2013) J. Clune et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- An Enhanced Hypercube-Based Encoding for Evolving the Placement, Density, and Connectivity of Neurons
- (2012) Sebastian Risi et al. ARTIFICIAL LIFE
- An Integrated Neuroevolutionary Approach to Reactive Control and High-Level Strategy
- (2012) Nate Kohl et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An examination of different fitness and novelty based selection methods for the evolution of neural networks
- (2012) Benjamin Inden et al. SOFT COMPUTING
- The Mario AI Benchmark and Competitions
- (2012) Sergey Karakovskiy et al. IEEE Transactions on Computational Intelligence and AI in Games
- Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study
- (2011) J.-B. Mouret et al. EVOLUTIONARY COMPUTATION
- On the Performance of Indirect Encoding Across the Continuum of Regularity
- (2011) Jeff Clune et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Systematic literature review of machine learning based software development effort estimation models
- (2011) Jianfeng Wen et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Abandoning Objectives: Evolution Through the Search for Novelty Alone
- (2010) Joel Lehman et al. EVOLUTIONARY COMPUTATION
- Building High-Performing Human-Like Tactical Agents Through Observation and Experience
- (2010) G Stein et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution
- (2010) Luigi Cardamone et al. IEEE Transactions on Computational Intelligence and AI in Games
- A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks
- (2009) Kenneth O. Stanley et al. ARTIFICIAL LIFE
- Evolving neural networks for strategic decision-making problems
- (2009) Nate Kohl et al. NEURAL NETWORKS
- Evolving novelty detectors for specific applications
- (2009) Simon J. Haggett et al. NEUROCOMPUTING
- Automatic Content Generation in the Galactic Arms Race Video Game
- (2009) E.J. Hastings et al. IEEE Transactions on Computational Intelligence and AI in Games
- Neuroevolution and complexifying genetic architectures for memory and control tasks
- (2008) Benjamin Inden THEORY IN BIOSCIENCES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started