2021.3.1 Neural papers

02-24-2021	Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence by Lana Sinapayen
02-25-2021	A New Neuromorphic Computing Approach for Epileptic Seizure Prediction by Fengshi Tian et al
02-24-2021	Abelian Neural Networks by Kenshin Abe et al
02-23-2021	Comparative evaluation of CNN architectures for Image Caption Generation by Sulabh Katiyar et al
02-26-2021	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning by Baohe Zhang et al
02-26-2021	Zoetrope Genetic Programming for Regression by Aurélie Boisbunon et al
02-23-2021	On Sexual Selection by Larry Bull
02-24-2021	Modelling SARS-CoV-2 coevolution with genetic algorithms by Aymeric Vie
02-23-2021	A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks by Yingfang Yuan et al
02-24-2021	Optimal Control Policies to Address the Pandemic Health-Economy Dilemma by Rohit Salgotra et al
02-24-2021	An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization by Dejun Xu et al
02-24-2021	Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment by Xinyun Zou et al
02-25-2021	Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules by Jacob de Nobel et al
02-24-2021	Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itself by Frederic Jumelle et al
02-25-2021	A Framework For Pruning Deep Neural Networks Using Energy-Based Models by Hojjat Salehinejad et al
02-23-2021	Multi-Space Evolutionary Search for Large-Scale Optimization by Liang Feng et al