Evolutionary deep learning: A survey
As an advanced artificial intelligence technique for solving learning problems, deep learning
(DL) has achieved great success in many real-world applications and attracted increasing …
(DL) has achieved great success in many real-world applications and attracted increasing …
Multiple populations co-evolutionary particle swarm optimization for multi-objective cardinality constrained portfolio optimization problem
With the rapid development of financial market, a growing number of stocks become
available on the financial market. How to efficiently select these stocks to achieve higher …
available on the financial market. How to efficiently select these stocks to achieve higher …
The application of evolutionary computation in generative adversarial networks (GANs): a systematic literature survey
Y Wang, Q Zhang, GG Wang, H Cheng - Artificial Intelligence Review, 2024 - Springer
As a subfield of deep learning (DL), generative adversarial networks (GANs) have produced
impressive generative results by applying deep generative models to create synthetic data …
impressive generative results by applying deep generative models to create synthetic data …
Global-best optimization of ANN trained by PSO using the non-extensive cross-entropy with Gaussian gain
S Susan, R Ranjan, U Taluja, S Rai, P Agarwal - Soft Computing, 2020 - Springer
An efficient optimization of network weights has been the primary goal of the artificial neural
network (ANN) research community since decades. The aim of every optimization problem is …
network (ANN) research community since decades. The aim of every optimization problem is …