A Multi-Core Parallelization Strategy for Statistical Significance Testing in Learning Classifier Systems [0.03%]
学习分类器系统中统计显著性检验的多核并行化策略
James Rudd,Jason H Moore,Ryan J Urbanowicz
James Rudd
Permutation-based statistics for evaluating the significance of class prediction, predictive attributes, and patterns of association have only appeared within the learning classifier system (LCS) literature since 2012. While still not widel...
Embodied artificial evolution: Artificial evolutionary systems in the 21st Century [0.03%]
具身人工演化：21世纪的人工进化系统
A E Eiben,S Kernbach,Evert Haasdijk
A E Eiben
Evolution is one of the major omnipresent powers in the universe that has been studied for about two centuries. Recent scientific and technical developments make it possible to make the transition from passively understanding to actively us...
Neuroevolutionary reinforcement learning for generalized control of simulated helicopters [0.03%]
模拟直升机泛化控制的神经进化强化学习方法研究
Rogier Koppejan,Shimon Whiteson
Rogier Koppejan
This article presents an extended case study in the application of neuroevolution to generalized simulated helicopter hovering, an important challenge problem for reinforcement learning. While neuroevolution is well suited to coping with th...
Evolving scalable and modular adaptive networks with Developmental Symbolic Encoding [0.03%]
基于Developmental Symbolic Encoding的可扩展模块化自适应网络的进化方法研究
Marcin Suchorzewski
Marcin Suchorzewski
Evolutionary neural networks, or neuroevolution, appear to be a promising way to build versatile adaptive systems, combining evolution and learning. One of the most challenging problems of neuroevolution is finding a scalable and robust gen...
Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms [0.03%]
进化马尔可夫链蒙特卡罗算法的重组算子与选择策略
Madalina M Drugan,Dirk Thierens
Madalina M Drugan
Markov Chain Monte Carlo (MCMC) methods are often used to sample from intractable target distributions. Some MCMC variants aim to improve the performance by running a population of MCMC chains. In this paper, we investigate the use of techn...