Abstract Salp Swarm Algorithm (SSA) is a recent metaheuristic inspired by the swarming
behavior of salps in oceans. SSA has demonstrated its efficiency in various applications …

We present a comprehensive review of the evolutionary design of neural network
architectures. This work is motivated by the fact that the success of an Artificial Neural …

The learning process of artificial neural networks is considered as one of the most difficult
challenges in machine learning and has attracted many researchers recently. The main …

This paper proposes a new hybrid stochastic training algorithm using the recently proposed
grasshopper optimization algorithm (GOA) for multilayer perceptrons (MLPs) neural …

This paper presents a new approach for damage detection in structures by applying a
flexible combination based on an artificial neural network (ANN) and cuckoo search (CS) …

A back-propagation (BP) neural network has good self-learning, self-adapting and
generalization ability, but it may easily get stuck in a local minimum, and has a poor rate of …

This paper proposes genetic algorithms (GAs) approach to feature discretization and the
determination of connection weights for artificial neural networks (ANNs) to predict the stock …

This paper employs the recently proposed nature-inspired algorithm called Multi-Verse
Optimizer (MVO) for training the Multi-layer Perceptron (MLP) neural network. The new …

Convolutional Neural Networks (CNN) have gained great success in many artificial
intelligence tasks. However, finding a good set of hyperparameters for a CNN remains a …

The grade estimation is a quite important and money/time-consuming stage in a mine
project, which is considered as a challenge for the geologists and mining engineers due to …