Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread

Solving the Online Batching Problem using Deep Reinforcement Learning

(2021) Bram Cals et al.   COMPUTERS & INDUSTRIAL ENGINEERING

EMR2vec: Bridging the gap between patient data and clinical trial

(2021) Houssein Dhayne et al.   COMPUTERS & INDUSTRIAL ENGINEERING

An optimized model using LSTM network for demand forecasting

(2020) Hossein Abbasimehr et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Bayesian modeling and optimization for multi-response surfaces

(2020) Jianjun Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Population size in Particle Swarm Optimization

(2020) Adam P. Piotrowski et al.   Swarm and Evolutionary Computation

Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks

(2020) Dilbag Singh et al.   EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES

Improved many-objective particle swarm optimization algorithm for scientific workflow scheduling in cloud computing

(2020) Sahar Saeedi et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Adaptive particle swarm optimization for integrated quay crane and yard truck scheduling problem

(2020) Dang Cong Hop et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Deep learning for diagnosis and classification of faults in industrial rotating machinery

(2020) Roberto M. Souza et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

(2019) Gang Wang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis

(2019) Ashraf Darwish et al.   Swarm and Evolutionary Computation

Adaptive biased random-key genetic algorithm with local search for the capacitated centered clustering problem

(2018) Antônio Augusto Chaves et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data

(2017) Fei Ye   PLoS One

Parameters identification of solar cell models using generalized oppositional teaching learning based optimization

(2016) Xu Chen et al.   ENERGY

Disaster prediction model based on support vector machine for regression and improved differential evolution

(2016) Xiaobing Yu   NATURAL HAZARDS

Novel self-adaptive particle swarm optimization methods

(2015) Choosak Pornsing et al.   SOFT COMPUTING

Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems

(2012) Hui Wang et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A novel particle swarm optimization algorithm based on particle migration

(2011) Ma Gang et al.   APPLIED MATHEMATICS AND COMPUTATION

Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

(2010) Hui Wang et al.   SOFT COMPUTING

A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization

(2008) Salvador García et al.   JOURNAL OF HEURISTICS