An ensemble of differential evolution and Adam for training feed-forward neural networks

A self-adaptive gradient descent search algorithm for fully-connected neural networks

(2022) Yu Xue et al.   NEUROCOMPUTING

A survey on modern trainable activation functions

(2021) Andrea Apicella et al.   NEURAL NETWORKS

Convergence of the RMSProp deep learning method with penalty for nonconvex optimization

(2021) Dongpo Xu et al.   NEURAL NETWORKS

Meta-learning, social cognition and consciousness in brains and machines

(2021) Angela Langdon et al.   NEURAL NETWORKS

Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling

(2021) Guo-Feng Fan et al.   Utilities Policy

Appropriate Learning Rates of Adaptive Learning Rate Optimization Algorithms for Training Deep Neural Networks

(2021) Hideaki Iiduka   IEEE Transactions on Cybernetics

A multi-population differential evolution with best-random mutation strategy for large-scale global optimization

(2020) Yongjie Ma et al.   APPLIED INTELLIGENCE

Evolving deep neural networks using coevolutionary algorithms with multi-population strategy

(2020) Sreenivas Sremath Tirumala   NEURAL COMPUTING & APPLICATIONS

Memetic algorithms for training feedforward neural networks: an approach based on gravitational search algorithm

(2020) Ricardo García-Ródenas et al.   NEURAL COMPUTING & APPLICATIONS

A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks

(2020) Sergio Varela-Santos et al.   INFORMATION SCIENCES

Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification

(2019) Yu Xue et al.   ACM Transactions on Knowledge Discovery from Data

Metaheuristic design of feedforward neural networks: A review of two decades of research

(2017) Varun Kumar Ojha et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Swarm Intelligence and Evolutionary Algorithms: Performance versus speed

(2017) Adam P. Piotrowski et al.   INFORMATION SCIENCES

A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training

(2017) Shima Amirsadri et al.   NEURAL COMPUTING & APPLICATIONS

A self-adaptive artificial bee colony algorithm based on global best for global optimization

(2017) Yu Xue et al.   SOFT COMPUTING

A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights

(2016) Wu Ai et al.   INFORMATION SCIENCES

A grid-based adaptive multi-objective differential evolution algorithm

(2016) Jixiang Cheng et al.   INFORMATION SCIENCES

On the Convergence of Decentralized Gradient Descent

(2016) Kun Yuan et al.   SIAM JOURNAL ON OPTIMIZATION

How effective is the Grey Wolf optimizer in training multi-layer perceptrons

(2015) Seyedali Mirjalili   APPLIED INTELLIGENCE

Multicriteria adaptive differential evolution for global numerical optimization

(2015) Jixiang Cheng et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Evolved neural network ensemble by multiple heterogeneous swarm intelligence

(2015) Zeng-Shun Zhao et al.   NEUROCOMPUTING

Differential evolution based on covariance matrix learning and bimodal distribution parameter setting

(2014) Yong Wang et al.   APPLIED SOFT COMPUTING

Enhancing distributed differential evolution with multicultural migration for global numerical optimization

(2013) Jixiang Cheng et al.   INFORMATION SCIENCES

A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems

(2012) Gexiang Zhang et al.   APPLIED SOFT COMPUTING

Two hybrid differential evolution algorithms for engineering design optimization

(2010) T. Warren Liao   APPLIED SOFT COMPUTING

Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms

(2010) Adam Prügel-Bennett   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Population-Based Algorithm Portfolios for Numerical Optimization

(2010) Fei Peng et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Recent advances in differential evolution: a survey and experimental analysis

(2009) Ferrante Neri et al.   ARTIFICIAL INTELLIGENCE REVIEW

Scale factor inheritance mechanism in distributed differential evolution

(2009) Matthieu Weber et al.   SOFT COMPUTING