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ORCIDDeep Neural Evolution 2020
- Hitoshi Iba, Nasimul Noman:
Deep Neural Evolution - Deep Learning with Evolutionary Computation. Natural Computing Series, Springer 2020, ISBN 978-981-15-3684-7
Preliminaries
- Hitoshi Iba:
Evolutionary Computation and Meta-heuristics. 3-33 - Nasimul Noman:
A Shallow Introduction to Deep Neural Networks. 35-63
Hyper-Parameter Optimization
- Leandro Aparecido Passos, Gustavo Henrique de Rosa
, Douglas Rodrigues, Mateus Roder, João Paulo Papa:
On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks. 67-96 - Takahiro Shinozaki, Shinji Watanabe, Kevin Duh:
Automated Development of DNN Based Spoken Language Systems Using Evolutionary Algorithms. 97-129 - Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
Search Heuristics for the Optimization of DBN for Time Series Forecasting. 131-152
Structure Optimization
- Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches. 155-184 - Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao:
Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming. 185-208 - Ali Bakhshi, Stephan K. Chalup, Nasimul Noman:
Fast Evolution of CNN Architecture for Image Classification. 209-229
Deep Neuroevolution
- Aditya Rawal, Jason Zhi Liang, Risto Miikkulainen:
Discovering Gated Recurrent Neural Network Architectures. 233-251 - Travis Desell, AbdElRahman A. ElSaid, Alexander G. Ororbia II:
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. 253-291 - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Neuroevolution of Generative Adversarial Networks. 293-322
Applications and Others
- Ryotaro Tsukada, Lekang Zou, Hitoshi Iba:
Evolving Deep Neural Networks for X-ray Based Detection of Dangerous Objects. 325-355 - Alejandro Martín, David Camacho:
Evolving the Architecture and Hyperparameters of DNNs for Malware Detection. 357-377 - Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Data Dieting in GAN Training. 379-400 - Danilo Vasconcellos Vargas:
One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation. 401-430
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