Neural and Evolutionary Computing

Authors and titles for cs.NE in Apr 2019

[1]  arXiv:1904.01336 [pdf, other]

Title: Optimising Trotter-Suzuki Decompositions for Quantum Simulation Using Evolutionary Strategies

Authors: Benjamin D.M. Jones, George O. O'Brien, David R. White, Earl T. Campbell, John A. Clark

Comments: A version of this paper is to appear in GECCO'19

Subjects: Neural and Evolutionary Computing (cs.NE); Quantum Physics (quant-ph)

[2]  arXiv:1904.01709 [pdf, other]

Title: Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions

Authors: Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy

Comments: Evolutionary Computation Journal

Journal-ref: Evolutionary Computation 1 25, 2020

Subjects: Neural and Evolutionary Computing (cs.NE)

[3]  arXiv:1904.01947 [pdf, other]

Title: Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms

Authors: Nataliya Le Vine, Matthew Zeigenfuse, Mark Rowan

Comments: 8 pages, 5 figures. Published at IJCNN 2019

Subjects: Neural and Evolutionary Computing (cs.NE)

[4]  arXiv:1904.02050 [pdf, other]

Title: Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions

Authors: Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A.N. Bosman

Comments: fix NMSE definition (it is 100xMSE/var instead of MSE/var)

Subjects: Neural and Evolutionary Computing (cs.NE)

[5]  arXiv:1904.02397 [pdf, ps, other]

Title: Convergence analysis of beetle antennae search algorithm and its applications

Authors: Yinyan Zhang, Shuai Li, Bin Xu

Comments: no

Subjects: Neural and Evolutionary Computing (cs.NE)

[6]  arXiv:1904.02478 [pdf, other]

Title: Learning Numeracy: Binary Arithmetic with Neural Turing Machines

Authors: Jacopo Castellini

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG)

[7]  arXiv:1904.02807 [pdf, other]

Title: Fluxonic Processing of Photonic Synapse Events

Authors: Jeffrey M. Shainline

Comments: 15 pages, 11 figures

Subjects: Neural and Evolutionary Computing (cs.NE)

[8]  arXiv:1904.02830 [pdf, other]

Title: An Evolutionary Framework for Automatic and Guided Discovery of Algorithms

Authors: Ruchira Sasanka, Konstantinos Krommydas

Subjects: Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI); Programming Languages (cs.PL)

[9]  arXiv:1904.03137 [pdf, other]

Title: Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

Authors: Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi

Comments: CVPR 2019

Subjects: Neural and Evolutionary Computing (cs.NE); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[10]  arXiv:1904.03178 [pdf, other]

Title: Reducing catastrophic forgetting when evolving neural networks

Authors: Joseph Early

Comments: 14 pages, 5 figures

Subjects: Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[11]  arXiv:1904.03368 [pdf, other]

Title: A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming

Authors: Aftab Anjum, Fengyang Sun, Lin Wang, Jeff Orchard

Comments: 14 pages, 4 figures, 2 tables, has been published on ICANN 2019, 28th International Conference on Artificial Neural Networks, pp. 373-386, 2019

Subjects: Neural and Evolutionary Computing (cs.NE)

[12]  arXiv:1904.03603 [pdf, other]

Title: Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction

Authors: Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo

Subjects: Neural and Evolutionary Computing (cs.NE); Neurons and Cognition (q-bio.NC)

[13]  arXiv:1904.03819 [pdf, other]

Title: WeNet: Weighted Networks for Recurrent Network Architecture Search

Authors: Zhiheng Huang, Bing Xiang

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG)

[14]  arXiv:1904.04203 [pdf, other]

Title: Characterizing the Social Interactions in the Artificial Bee Colony Algorithm

Authors: Lydia Taw, Nishant Gurrapadi, Mariana Macedo, Marcos Oliveira, Diego Pinheiro, Carmelo Bastos-Filho, Ronaldo Menezes

Comments: 9 pages, 10 figures

Subjects: Neural and Evolutionary Computing (cs.NE); Social and Information Networks (cs.SI); Machine Learning (stat.ML)

[15]  arXiv:1904.04377 [pdf, ps, other]

Title: Lecturer Performance System Using Neural Network with Particle Swarm Optimization

Authors: Tarik A. Rashid, Hawraz A. Ahmad

Comments: 20 pages

Journal-ref: Computer Applications in Engineering Education. Wiley publication, 2016

Subjects: Neural and Evolutionary Computing (cs.NE)

[16]  arXiv:1904.04579 [pdf, ps, other]

Title: A Concept-Value Network as a Brain Model

Authors: Kieran Greer

Subjects: Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC)

[17]  arXiv:1904.04608 [pdf, other]

Title: Hyper-Parameter Tuning for the (1+(λ,λ)) GA

Authors: Nguyen Dang, Carola Doerr

Comments: To appear at ACM Genetic and Evolutionary Computation Conference (GECCO'19). This version has some additional plots and data

Subjects: Neural and Evolutionary Computing (cs.NE)

[18]  arXiv:1904.04805 [pdf, other]

Title: Embodied Neuromorphic Vision with Event-Driven Random Backpropagation

Authors: Jacques Kaiser, Alexander Friedrich, J. Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann

Comments: v2: title update, better plots and wordings. 8 pages, 9 figures, 1 table, video: this https URL

Subjects: Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[19]  arXiv:1904.04867 [pdf, ps, other]

Title: Black-Box Complexity of the Binary Value Function

Authors: Nina Bulanova, Maxim Buzdalov

Comments: 24 pages, one figure. An extended two-page abstract of this work will appear in proceedings of the Genetic and Evolutionary Computation Conference, GECCO'19

Subjects: Neural and Evolutionary Computing (cs.NE); Computational Complexity (cs.CC)

[20]  arXiv:1904.05027 [pdf, ps, other]

Title: Classification of Two-channel Signals by Means of Genetic Programming

Authors: Daniel Rivero, Enrique Fernandez-Blanco, Julian Dorado, Alejandro Pazos

Comments: Conference paper, doble-column, 7 pages, 1 figure, 3 tables

Journal-ref: Proceedings of Annual Conference on Genetic and Evolutionary Computation 2015 (GECCO'15), pp. 1319-1325

Subjects: Neural and Evolutionary Computing (cs.NE)

[21]  arXiv:1904.05061 [pdf, ps, other]

Title: A review on Neural Turing Machine

Authors: Soroor Malekmohammadi Faradonbeh, Faramarz Safi-Esfahani

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG)

[22]  arXiv:1904.05158 [pdf, other]

Title: Short note on the behavior of recurrent neural network for noisy dynamical system

Authors: Kyongmin Yeo

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an)

[23]  arXiv:1904.05226 [pdf, ps, other]

Title: Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process

Authors: Jaza M. Abdullah, Tarik A. Rashid (IEEE Member)

Comments: 14 pages, Accepted in IEEE Access

Journal-ref: IEEE Access, 2019

Subjects: Neural and Evolutionary Computing (cs.NE)

[24]  arXiv:1904.05682 [pdf, ps, other]

Title: Multiplicative Up-Drift

Authors: Benjamin Doerr (École Polytechnique, CNRS, LIX), Timo Kötzing (Hasso Plattner Institute)

Comments: Significantly extended version of: Benjamin Doerr and Timo K\"otzing. Multiplicative up-drift. In Genetic and Evolutionary Computation Conference, GECCO 2019, pages 1470-1478. ACM, 2019

Journal-ref: Algorithmica 83(10): 3017-3058 (2021)

Subjects: Neural and Evolutionary Computing (cs.NE); Data Structures and Algorithms (cs.DS)

[25]  arXiv:1904.05815 [pdf, other]

Title: GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care

Authors: Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG); Machine Learning (stat.ML)