• Scatter Search

  • Referenced in 297 articles [sw05291]
  • exploit context knowledge. In contrast to other evolutionary methods like genetic algorithms, scatter search ... optimal weight values in a multilayer neural network. Through experimentation, we show that our instantiation ... terms of training quality while keeping the computational effort at a reasonable level...
  • ALEC

  • Referenced in 3 articles [sw02260]
  • Adaptive Learning by Evolutionary Computation), an automatic computational framework for optimizing neural networks wherein...
  • DENSER

  • Referenced in 3 articles [sw34794]
  • automatically design Artificial Neural Networks (ANNs) using Evolutionary Computation. The algorithm not only searches...
  • TREPPS

  • Referenced in 1 article [sw12756]
  • scalability that lead to imprecise recommendations. Computational Intelligence (CI) techniques not only improve recommendation accuracy ... fuzzy sets, (b) artificial neural networks, (c) evolutionary computing, (d) swarm intelligence, and (e) artificial...
  • RENAS

  • Referenced in 1 article [sw42536]
  • RENAS: Reinforced Evolutionary Neural Architecture Search. Neural Architecture Search (NAS) is an important yet challenging ... high computational consumption. To address this issue, we propose the Reinforced Evolutionary Neural Architecture Search ... which is an evolutionary method with the reinforced mutation for NAS. Our method integrates reinforced ... mutation into an evolution algorithm for neural architecture exploration, in which a mutation controller...
  • MONEDA

  • Referenced in 5 articles [sw19793]
  • significant improvement regarding “standard” multi-objective optimization evolutionary algorithms. Adapting the model-building algorithm ... objective neural estimation of distribution algorithm (MONEDA). MONEDA uses a modified growing neural gas network ... quality indicators and computational resource requirements...
  • QuickSelection

  • Referenced in 1 article [sw41920]
  • desirable for devices with limited computational and energy resources. In this paper, a novel ... strength of the neuron in sparse neural networks as a criterion to measure the feature ... connected denoising autoencoders trained with the sparse evolutionary training procedure, derives the importance...
  • ReDraw

  • Referenced in 1 article [sw36252]
  • application’s inception and in an evolutionary context as GUI changes keep pace with evolving ... from a mock-up artifact using either computer vision techniques or mock-up metadata. Then ... mining, automated dynamic analysis, and deep convolutional neural networks are utilized to accurately classify...
  • EvoNet

  • Referenced in 0 articles [sw15492]
  • evolutionary process from ancestor deep neural networks. The architectural genetics of ancestor deep neural networks ... ancestor networks are then leveraged, along with computational environmental factor models to synthesize new descendant...
  • ANSYS

  • Referenced in 715 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • BARON

  • Referenced in 365 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • GAP

  • Referenced in 3222 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • Macaulay2

  • Referenced in 1963 articles [sw00537]
  • Macaulay2 is a software system devoted to supporting...
  • Maple

  • Referenced in 5408 articles [sw00545]
  • The result of over 30 years of cutting...
  • MATCONT

  • Referenced in 457 articles [sw00551]
  • MATCONT: Matlab software for bifurcation study of dynamical...
  • Mathematica

  • Referenced in 6458 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 13745 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NLTK

  • Referenced in 42 articles [sw00626]
  • This book offers an introduction to Natural Language...
  • Octave

  • Referenced in 313 articles [sw00646]
  • GNU Octave is a high-level language, primarily...